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International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> London</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, London

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.</p><p>
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.</p><p>
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p></p><p><br>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</p></div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><div>
<h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>
<p>
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>
<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>
<li>Support customers building with both the Claude API and Claude for Work</li>
<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>
<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>
<li>Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases</li>
<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>
<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>
<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you have:</b></h2>
<ul><li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>
<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>
<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>
<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>
<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>
<li>Comfortable with python</li>
<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>
<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>
<li>A love of teaching, mentoring, and helping others succeed</li>
<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>
<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>
</ul>
</div><p><b>Deadline to apply: </b>None. Applications will be reviewed on a rolling basis.</p></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
&pound;190,000 - &pound;230,000 GBP</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Applied AI Architect, Industries

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients&rsquo; challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>Join our Data &amp; AI Strategy team and be part of the future of AI consulting, where we&rsquo;re not just advising clients, we&rsquo;re actively disrupting traditional consulting models by embedding AI into every aspect of how we work.
<br>
We&rsquo;re looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You&rsquo;ll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you&rsquo;ll be working at the cutting edge of what&rsquo;s next.</p>
<ul><li>We <b>DESIGN</b> next-generation data, analytics and AI platforms &ndash; You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).</li>
<li>We <b>ENABLE</b> hybrid cloud transformation &ndash; You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.</li>
<li>We <b>INNOVATE</b> with AI-driven data solutions &ndash; You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.</li>
<li>We <b>AUTOMATE</b> for speed and reliability &ndash; You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).</li>
<li>We <b>ADVISE</b> on enterprise data strategy &ndash; You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.</li>
<li>We <b>DELIVER </b>impact through design excellence &ndash; You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.</li>
<li>We <b>SUPERCHARGE</b> delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.</li><br>
</ul><p><br>
As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
</p><ul><li>Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development - Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul><p>You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data.
<br>
We are looking for exceptional Data Platform Architecture &amp; Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>As a member of the Data &amp; AI Strategy Team you&rsquo;ll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You&rsquo;ll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.
<br>
Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point &ndash; we want to build a team which has diverse backgrounds, perspectives and strengths.</p>
<p>Key Skills</p>
<ul><li>Growth mindset and curiosity - You&rsquo;re always learning, experimenting with new technologies, and pushing the boundaries of what&rsquo;s possible.</li>
<li>Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations.</li>
<li>Excellent communication and collaboration skills - You&rsquo;re confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives.</li>
<li>Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.</li>
</ul><p>Technology &amp; Consulting Experience</p>
<ul><li>Strategic Leadership in Data, Analytics &amp; AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation.</li>
<li>Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience.</li>
<li>Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others.</li>
<li>Certifications &amp; Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures.</li>
<li>Infrastructure &amp; Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases.</li>
<li>Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.</li>
<li>Migration &amp; Transformation: Experience migrating legacy systems to cloud-native data stores.</li>
<li>Consulting &amp; Commercial Acumen &ndash; Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships.</li>
<li>SC Cleared / Eligible</li>
</ul><p>Desirable Experience</p>
<ul><li>Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport.</li>
<li>Knowledge of cloud cost management tools and best practices to optimise spend and maximise value</li>
<li>Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 5 consecutive years, to see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page</p>
<ul><li>A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling programs.</li>
<li>Opportunity to lead high-visibility, cutting-edge client engagements in the data &amp; AI space, shaping how organisations extract value from data.</li>
<li>Flexible working, comprehensive benefits and a culture of collaboration, innovation and growth.</li>
<li>The chance to step into a leadership journey, influencing strategy and building a high-performing team in a major global consulting firm.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
<br>
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn&rsquo;t just a statement; it&rsquo;s a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World&rsquo;s Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.</p>
<p>Your base location will be London, Manchester, or Glasgow, but flexibility is essential. These roles may require travel and short-notice assignments away from home.
<br>
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p></div></div></div></div></div></div></div>

Manager / Senior Manager - Data Management

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Join us to shape the future of financial analytics and technology. You will lead impactful projects that drive advanced data engineering and AI solutions across global teams. We offer opportunities for career growth, collaboration, and technical excellence. Your expertise will help us deliver mission-critical systems and foster a culture of innovation. Be part of a team where your ideas and leadership make a difference.</p><p><br>
As a Lead Data Engineering &amp; AI Technical Initiatives in the Global Analytics team, you will guide technical direction and drive innovation in real-time data processing. You will collaborate with research and trading teams to deliver advanced analytics capabilities and support global business needs. Your role will focus on building robust tools, mentoring team members, and influencing product design. You will help shape our technical standards and foster a diverse, inclusive, and collaborative environment.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Lead technical initiatives across global analytics teams, providing guidance and direction in a high-velocity environment.</li><li>
Design, build, and optimize real-time data processing pipelines and applications to ensure reliability and performance.</li><li>
Leverage AI technologies to enhance data engineering workflows and automate SDLC processes.</li><li>
Collaborate with research and trading teams to onboard new datasets efficiently and consistently.</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Build and support robust tools and frameworks for quantitative research and production trading.</li><li>
Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards.</li><li>
Influence product design, application functionality, and technical operations to meet evolving business demands.</li><li>
Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI.</li><li>
Champion diversity, inclusion, and collaboration within global teams.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Applied experience in software engineering, preferably in large-scale, fast-paced financial environments.</li><li>
Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.</li><li>
Expertise in Python, KDB, or C++ for real-time data processing, application development, or data engineering.</li><li>
Working knowledge of AI technologies to support data engineering, analytics, or SDLC automation.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices</li><li>
Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies.</li><li>
Experience leading and mentoring teams in a global, collaborative environment.</li><li>
Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.</li><li>
Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Experience with market data venue and vendor data platforms.</li><li>
AWS experience; practical cloud native/cloud experience is a plus.</li><li>
Experience with Terraform and Kubernetes for managing production environments in public cloud.</li><li>
Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading
</li></ul><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

SQLI

<div>
 <p>
  We Elevate. Digitally.
  <br/>
  <br/>
 </p>
 <p>
  SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.
  <br/>
  <br/>
 </p>
 <p>
  With 2,200 people across 12 countries, we&rsquo;re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    About the role
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.
  <br/>
  <br/>
 </p>
 <p>
  This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.
  <br/>
  <br/>
 </p>
 <p>
  You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else&rsquo;s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.
  <br/>
  <br/>
  <br/>
  <br/>
  <u>
   <strong>
    What you will do
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Support Data &amp; AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   <p>
    Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience building RAG applications
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience setting up CI/CD pipelines and automation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Able to take a prototype through to a production-grade build, not just one or the other
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong collaboration and communication skills, ideally from an agency or consulting setting
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <p>
  <u>
   <strong>
    Nice to have
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Hands-on with Anthropic&rsquo;s managed agent infrastructure (Claude managed agents, the agents API)
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Prior work on evaluation methods for LLM outputs
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience in e-commerce, or from an AI, agentic, or workflow automation background
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Comfortable presenting technical work and learnings to a non-engineering audience
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    How we will work together
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  You will report into the Data &amp; AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.
  <br/>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    How to apply
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  Send a short note covering:
  <br/>
  <br/>
 </p>
 <ol>
  <li>
   <p>
    One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    How you would take an agent that touches real client systems from a quick prototype to something safe to run in production
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    Your notice period and earliest start date
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <p>
  <strong>
   Why you&rsquo;ll love working at SQLI?
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   A flexible remote working policy: 3 days per week
  </li>
  <li>
   Continuous learning opportunities and certifications to support your development
  </li>
  <li>
   Personalised support: career follow-up, diverse projects, and strong team collaboration
  </li>
  <li>
   Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups
  </li>
 </ul>
</div>


AI Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Deployment Strategists &mdash; Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound &mdash; typically 12 weeks or less &mdash; and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.
</p><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li><p>Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle &mdash; Identify Commit Deploy Consume &mdash; owning outcomes at every stage, not just discovery or deal closure
</p></li><li><p>AI Strategy &amp; Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
</p></li><li><p>Deployment Oversight &amp; Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
</p></li><li><p>Adoption &amp; Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
</p></li><li><p>Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
</p></li><li><p>AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
</p></li><li><p>Cursor, Claude, and our coding products like Vibes , to accelerate development.
</p></li><li><p>Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
</p></li><li><p>AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
</p></li><li><p>Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li><p>4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
</p></li><li><p>Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
</p></li><li><p>Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
</p></li><li><p>Proven ability to lead and own complex, ambiguous engagements end-to-end &mdash; from discovery through to measurable outcomes
</p></li><li><p>Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
</p></li><li><p>Strong project and programme management skills &mdash; ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
</p></li><li><p>Ability to travel 25% of the time to customer sites
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Experience
</b></h2><ul><li><p>Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
</p></li><li><p>Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare)
</p></li><li><p>Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
</p></li><li><p>Background in change management, organisational design, or enterprise transformation
</p></li><li><p>Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
</p></li><li><p>A get-things-done mindset with strong bias for action &mdash; comfortable operating in unstructured fast moving environments
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Deployment Strategist

Explore 335+ Ai solutions architect in London this July. Find roles across top companies and apply now to boost your career.