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lead ai engineer

Nicholson Glover

<div>
 
 
 Lead AI Engineer | AI Tech Start-Up | &pound;100,000-&pound;130,000 DOE + Shares | London / Hybrid (1 Day Office)
 
 
 
 
 
 
 We&rsquo;re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead AI Engineer.
 
 
 
 
 
 This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation.
 
 
 
 
 
 
 The Company
 
 
 
 
 
 
 This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.
 
 
 
 
 
 Their digital AI agents provide always-on, intelligent insights - supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 As Lead AI Engineer, you&rsquo;ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.
 
 
 
 
 
 You&rsquo;ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.
 
 
 
 
 
 
 The Candidate
 
 
 
 
 
 
 Key attributes of the suitable Lead AI Engineer include:
 
 
 
 
 <ul>
 <li>
 
 Technical Data Science Expertise
 
 &ndash; Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
 </li>
 <li>
 
 Agentic AI &amp; Modern AI Systems
 
 Experience &ndash; Hands-on exposure to LLMs, RAG pipelines, and agentic
 </li>
 <li>
 
 Delivery Leadership &amp; Client Ownership
 
 &ndash; Comfortable leading teams while remaining technically involved and managing client relationships post-sale
 </li>
 </ul>
 
 
 
</div>

Lead AI Engineer | Series-A Start-Up

Avanade

<div>
 We are seeking a highly skilled and innovative
 
 Lead Agentic AI Engineer
 
 to join our team and drive the design, development, and deployment of production-grade generative AI and agentic solutions using Microsoft technologies.
 
 
 This role is ideal for a technically strong engineer who has hands-on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and taking solutions into secure, scalable, and cost-optimised production environments using platforms such as
 
 Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements
 </li>
 <li>
 Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices
 </li>
 <li>
 Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments
 </li>
 <li>
 Lead end-to-end solution delivery, from discovery and design through implementation, deployment, and handover
 </li>
 <li>
 Make clear technical design decisions that support scalability, reliability, security, and maintainability
 </li>
 <li>
 Lead and mentor junior team members, helping them deliver high-quality outcomes and grow their technical capability
 </li>
 <li>
 Collaborate effectively with cross-functional teams in agile environments
 </li>
 <li>
 Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs
 </li>
 <li>
 Support or lead pre-sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions
 </li>
 <li>
 Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 :
 
 
 
 
 Core technical skills
 
 
 
 <ul>
 <li>
 Hands-on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral
 </li>
 <li>
 Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi-agent patterns
 </li>
 <li>
 Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance
 </li>
 <li>
 Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost
 </li>
 <li>
 Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance
 </li>
 <li>
 Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework
 </li>
 <li>
 Proficient in Python and production-quality code practices
 </li>
 <li>
 Strong understanding of software engineering principles, architecture patterns, and delivery best practices
 </li>
 <li>
 Experience with API development using frameworks such as FastAPI, Flask, or Django
 </li>
 <li>
 Knowledge of Docker, containerised deployments, CI/CD, and cloud-native delivery patterns
 
 
 </li>
 </ul>
 
 
 What Will Make You Stand Out
 
 
 
 
 <ul>
 <li>
 Experience building, deploying, and evaluating multi-agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations
 </li>
 <li>
 Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A
 </li>
 <li>
 Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness
 </li>
 <li>
 Confidence contributing to pre-sales while also being able to lead implementation during delivery
 </li>
 <li>
 Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Microsoft certified i.e. Azure AI Apps and Agents Developer Associate OR Agentic AI Business Solutions Architect
 
 
 </li>
 </ul>
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 
 <ul>
 <li>
 Opportunity to work for Microsoft&rsquo;s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
 </li>
 <li>
 Real-time access to technical and skilled resources globally
 </li>
 <li>
 Collaborate with some of the brightest &ldquo;Microsoft minds&rdquo;
 </li>
 <li>
 Build your expertise, solve problems, learn, and develop
 
 
 </li>
 </ul>
 Find Out More About Some Of Our Benefits here.
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look!
 
 
 We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page.
 
 
 Create a future for our people that focuses on
 
 
 <ul>
 <li>
 Expanding your thinking
 </li>
 <li>
 Experimenting courageously
 </li>
 <li>
 Learning and pivoting
 
 
 </li>
 </ul>
 Inspire greatness in our people by
 
 
 <ul>
 <li>
 Empowering every voice
 </li>
 <li>
 Encouraging boldness
 </li>
 <li>
 Celebrating progress
 
 
 </li>
 </ul>
 Accelerate the impact of our people by
 
 
 <ul>
 <li>
 Amazing the client
 </li>
 <li>
 Prioritizing what matters
 </li>
 <li>
 Acting as one
 </li>
 </ul>
</div>

Lead Agentic AI Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
We have an opportunity to impact your career and help you push the limits of what is possible. You will help teams adopt approved AI-assisted engineering practices that improve quality, speed, and operational resilience. If you enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. 
 
As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will be a core technical contributor on an agile team, delivering critical technology solutions across multiple technical areas. You will help advance engineering outcomes by enabling responsible, compliant, and effective use of approved AI-assisted development practices.
Job Responsibilities<ul><li>
Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes</li><li>
Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing</li><li>
Promote reuse of effective patterns across the team to improve consistency and reliability</li><li>
Apply software development lifecycle tools, including approved AI-assisted development and automation capabilities, to increase the value realized from automation</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting</li><li>
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, secure handling of inputs and outputs, and resiliency and security expectations</li><li>
Experience coaching engineers on safe, compliant adoption of AI-assisted practices within delivery workflows</li><li>
Knowledge of the financial services industry and its technology systems</li><li>
Proficiency in Python or an equivalent programming language</li><li>
Experience working in AWS or an equivalent cloud environment, with understanding of Terraform, EKS, and ECS</li><li>
Strong knowledge of system and application design</li><li>
Familiarity with CI/CD pipelines and software development lifecycles</li><li>
Experience with prompt engineering and retrieval-augmented generation (RAG) based architecture</li><li>
Ability to communicate with clarity and credibility across senior engineers, stakeholders, and product partners</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience building agentic tools and AI agents that support engineering workflows in production environments</li><li>
Experience with Airflow</li></ul>
ABOUT US
 
 
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. 
<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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Applied AI ML Lead Engineer, VP - Asset and Wealth Management

La Fosse

<div>
 
 
 Senior AI Engineer
 
 
 <ul>
 <li>
 
 Paying up to &pound;110,000 + 10 % Bonus
 
 </li>
 <li>
 
 Hybrid working &ndash; Central London (1 day per week)
 
 </li>
 <li>
 
 Leading FinTech Organisation
 
 </li>
 </ul>
 
 
 
 
 I'm partnering with a market-leading fintech business to hire a
 
 Senior AI Engineer
 
 into a high-impact AI Engineering team. This is an opportunity to lead the design and delivery of production-grade AI systems that are embedded into core business operations, helping shape how AI is adopted across the organisation.
 
 
 
 
 
 If you're passionate about LLMs, AI agents and building enterprise-scale AI solutions, this is a chance to own the technical direction and deliver AI products that create genuine business value.
 
 
 
 
 
 
 The Business
 
 
 <ul>
 <li>
 Leading fintech organisation with AI at the heart of its technology strategy.
 </li>
 <li>
 Significant investment into Generative AI, Machine Learning and cloud technologies.
 </li>
 <li>
 Collaborative engineering culture with a strong focus on innovation and technical excellence.
 </li>
 <li>
 Opportunity to influence AI strategy and shape the future of enterprise AI delivery.
 </li>
 <li>
 Modern technology environment with ambitious plans for AI adoption.
 </li>
 </ul>
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Build production-grade applications using LLMs and AI agents.
 </li>
 <li>
 Lead AI projects from concept through to deployment and adoption.
 </li>
 <li>
 Define engineering standards, reusable frameworks and best practices for AI development.
 </li>
 <li>
 Make key technical decisions across models, tooling, infrastructure and system design.
 </li>
 <li>
 Ensure AI solutions are scalable, secure, observable and production-ready.
 </li>
 </ul>
 
 
 
 
 
 What They're Looking For
 
 
 <ul>
 <li>
 Proven experience delivering production AI systems from design through to deployment.
 </li>
 <li>
 Strong expertise with Generative AI, LLMs and agentic AI architectures.
 </li>
 <li>
 Excellent software engineering skills across APIs, cloud platforms and distributed systems.
 </li>
 <li>
 Ability to influence engineering standards across multiple teams.
 </li>
 <li>
 Experience with AI platforms, LLMOps or MLOps would be highly beneficial.
 </li>
 <li>
 Background delivering AI solutions within enterprise or regulated environments is desirable.
 </li>
 </ul>
 
 
 
 
 This is an outstanding opportunity to join a business making significant investment in AI, where you'll play a pivotal role in defining technical strategy, building enterprise-scale AI solutions and driving innovation across the organisation.
 
 
 
 
 
 If you feel like you would be a good match, please apply with your CV to find out more.
 
 
 
 
 
 
 Senior AI Engineer
 
 
</div>

Senior AI Engineer

<div>
 
 JOB DETAILS
 
 
 
 
 
 Role Title: AI Engineer
 
 
 
 
 
 Must have skills:
 
 
 &bull; Proven experience as an AI, Machine Learning, or Privacy Engineer.
 
 
 &bull; Proficiency in programming languages such as Python is added advantage.
 
 
 &bull; Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
 
 
 &bull; Experience working with multi-cloud technologies. GCP is mandatory.
 
 
 &bull; Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders
 
 
 &bull; Experience with adversarial testing and robustness evaluation of AI models.
 
 
 &bull; Experience in the end-to-end development of AI/ML models and applications.
 
 
 &bull; Ability to lead and train the team on model training
 
 
 
 
 
 Minimum number of relevant years of experience: 8-10
 
 
 
 
</div>

Artificial Intelligence Engineer

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Barclays

<div><div>Date live: 25/08/2026
 Business Area: Chief Technology Office
 Area of Expertise: Technology
 Contract: Permanent
 Reference Code: JR-0000125259</div></div>
 <div>Join Barclays as a Senior AI Platform Engineer, where you will lead the design, delivery, and operational excellence of our enterprise AI infrastructure. You will own the engineering quality and technical direction across core platform subsystems including the AI Gateway, inference routing, guardrails, and observability - ensuring they are secure, scalable, and production-grade.
This role combines technical leadership with hands-on delivery. You will drive execution across workstreams, set engineering standards, remove blockers for the team, and coach engineers to grow their skills and autonomy.
To be successful as a Senior AI Platform Engineer, you must have the following essential skills;
<ul><li>Platform/infra architecture at enterprise scale &mdash; distributed systems, active-active, failover patterns</li>
<li>Expert Python (FastAPI/async) or Go/Java &mdash; high-throughput, low-latency production systems</li>
<li>Deep AWS/EKS/Envoy &mdash; Bedrock, IAM, Aurora, CloudFormation, GPU scheduling, multi-tenancy, service mesh (Istio), envoy</li>
<li>GenAI/Agentic AI &mdash; LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, vLLM serving</li>
</ul>Some other highly valued skills may include;
<ul><li>AI safety/guardrails &mdash; prompt injection detection, PII redaction, content filtering</li>
<li>AI security frameworks &mdash; NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10</li>
<li>Envoy Proxy (xDS API, WASM filters, AI Gateway extensions)</li>
<li>Financial services background &mdash; regulatory, data residency, compliance</li>
</ul>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
Location is London
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
<ul><li>Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.</li>
<li>Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.</li>
<li>Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.</li>
<li>Stay informed of industry technology trends and innovations and actively contribute to the organization&rsquo;s technology communities to foster a culture of technical excellence and growth.</li>
<li>Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.</li>
<li>Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.</li>
</ul>Vice President Expectations
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Senior AI Platform Engineer

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