software engineer

ai engineer

analytics engineer

platform engineer

ai software engineer

ai solution architect

<div>About the role:
PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC&rsquo;s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK&rsquo;s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 
What your days will look like:
As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.<ul><li>Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC&rsquo;s &ldquo;Trust by Design&rdquo; architecture patterns to ensure systems are secure, governed, transparent and resilient.</li><li>Develop and mature PwC&rsquo;s &ldquo;Trust by Design&rdquo; reference architectures and patterns for GenAI and agentic AI, embedding:</li><li>safety and policy controls (guardrails, content safety, prompt-hardening),</li><li>transparency and auditability (logging, traceability, lineage),</li><li>privacy and security controls (data minimisation, encryption, key management),</li><li>and human-in-the-loop and escalation mechanisms.</li><li>Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across:</li><li>SDLC and secure-by-design practices,</li><li>data lifecycle and data governance,</li><li>model lifecycle (training, fine-tuning, evaluation, release, monitoring).</li><li>Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.</li><li>Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.</li><li>Oversee development of test plans and evaluation frameworks including:</li><li>functional performance testing (accuracy/task success),</li><li>safety testing (toxicity, bias, harmful capability),</li><li>robustness testing (adversarial prompts, jailbreak attempts),</li><li>privacy and leakage testing,</li><li>explainability and transparency checks,</li><li>and post-deployment monitoring (drift, incidents, regressions).</li><li>Shape approaches to model validation and independent assurance, including documentation, governance evidence packs, and audit-ready artefacts.</li><li>Act as technical delivery lead / solution architect on flagship engagements, owning architecture decisions, quality, and delivery outcomes.</li><li>Lead multidisciplinary teams across RAI, engineering, cyber, data governance and risk, bringing structure, pace and clarity to complex delivery.</li><li>Codify delivery experience into reusable assets (frameworks, playbooks, accelerators, reference architectures) to scale PwC&rsquo;s methodology and differentiation.</li><li>Contribute to the UK Responsible AI go-to-market strategy, shaping priority offerings, target sectors, alliance motions and client propositions.</li><li>Lead and contribute to technical thought leadership on GenAI, agentic systems, LLM assurance, AI security and governance, staying at the frontier of emerging techniques.</li><li>Mentor and upskill practitioners through internal capability building, training and coaching.</li><li>Build, lead and inspire diverse teams, fostering a culture of ethical innovation, engineering excellence and continuous learning.</li><li>Collaborate with global PwC teams to scale Responsible AI capabilities across the network and share repeatable assets.</li></ul>
This role is for you if you have:<div><ul><li> 
Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).</li><li>Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.</li><li>Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.</li><li>Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.</li><li>Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.</li><li>Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems.</li><li>Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.</li><li>Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.</li><li>Experience in consulting or industry, including leadership of complex AI/data/analytics/model risk initiatives.</li><li>Strong stakeholder influence: able to advise executives and risk leaders and translate complex technical issues into business and regulatory implications.</li><li>Commercial acumen: experience shaping proposals, leading workstreams, and supporting large engagements alongside Partners.</li></ul></div>
Desirable to have:<div><ul><li> 
Experience with model governance / MRM platforms, GenAI guardrail tools, and LLMOps / observability tooling (prompt/trace evaluation, scoring, monitoring).</li><li>Experience leading or contributing to AI security programmes (threat modelling, prompt injection mitigation, data leakage prevention, secure deployment).</li><li>External thought leadership (publications, speaking, panels) on Responsible/Trustworthy AI.</li><li>Relevant certifications (e.g., ISO lead implementer/auditor) and/or contributions to standards bodies or industry forums.</li></ul></div>
What success looks like in this role:<div><ul><li> 
You can architect a GenAI/agentic solution end-to-end, explain the trade-offs, and embed Trust by Design controls without slowing delivery to a crawl.</li><li>You&rsquo;re comfortable with both platform realities (Azure/AWS services, identity, security, integration, monitoring) and RAI assurance (evidence, testing, validation, governance).</li><li>You can turn lessons learned into repeatable patterns that scale across PwC and across clients.</li></ul></div> 
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Applications close on the 5 of June 2026</div>

Senior Manager, Responsible AI Solution Architect

Atos

<div>Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. 


With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand. 
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. 


About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. &euro;7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
We are looking for an experienced Digital Applications Presales Solution Architect to join our UK Technology Solutions team. In this customer-facing role, you will lead the design of innovative, end-to-end application solutions that help organisations accelerate their digital transformation journeys. Working closely with customers, sales teams, and technical specialists, you will shape winning propositions across AI-Augmented Application Development, Digital Application Management, and AIOps services.

As a trusted advisor, you will combine technical expertise, commercial awareness, and strong stakeholder engagement skills to understand client challenges, architect compelling solutions, and develop high-quality proposals that deliver measurable business value. This is an opportunity to play a key role in strategic pursuits, influence customer outcomes, and help drive the growth of Atos' Digital Applications business. 


Where purpose meets career:
<ul>
<li>Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts. This variety ensures continuous learning and exposure to innovative solutions.</li>
<li>High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation.</li>
<li>Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment.</li></ul> 


Skills We Can't Do Without
<ul>
<li>Proven Presales Solution Architecture Experience 
Demonstrated success designing and leading end-to-end solutions for complex customer opportunities, including solution design, cost modelling, governance, and technical sales engagements.</li>
<li>Digital Applications Expertise 
Strong knowledge of AI-Augmented Application Development, Application Modernisation, Digital Application Management, AIOps, and software delivery methodologies such as Agile, DevOps, and DevSecOps.</li>
<li>Proposal &amp; RFP/ITT Authoring 
Proven experience owning and authoring high-quality technical proposal responses (RFPs/ITTs), developing compelling solution narratives, and presenting value-driven solutions to customer stakeholders.</li>
<li>Stakeholder Engagement &amp; Consulting Skills 
Exceptional communication, presentation, and influencing skills, with the ability to engage senior customer stakeholders, shape requirements, and translate business challenges into effective technology solutions.</li>
<li>Commercial &amp; Solution Design Acumen 
Ability to develop outcome-based service propositions, create accurate estimations and resource plans, identify risks, and align solutions with measurable business value and customer objectives.</li></ul> 


Educational Background and Qualifications:
<ul>
<li>Educational Qualifications: Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline.</li>
<li>Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable.</li></ul> 


Benefits:
<ul>
<li>Pension Scheme - contributions matched up to 10%</li>
<li>Private medical cover</li>
<li>Income Protection</li>
<li>Life Assurance</li>
<li>25 days paid leave + National Holidays</li>
<li>Flex benefits program</li></ul> 


Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations. 


Recruiter Contact:

Please write directly to Ofelia Georgieva on Ofelia Georgieva | LinkedIn |ofelia.georgieva@atos.net

As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs.

We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox - UK-Recruitment-Support@atos.net 


Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.</div>

Digital Applications Presales Solution Architect

Parloa

<div><h3 class="jobSectionHeader">About Parloa</h3>

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
<h3 class="jobSectionHeader">
About the role:</h3>

As Manager, Agent Architecture, you will build and lead the team that transforms customer service with AI Agents, while staying in the build yourself. You run a team of Agent Architects: you hire them, coach them, set their goals, and own the quality of every AI Agent they ship, with a significant portion of your capacity on live customer engagements.

This is your opportunity to lead at the front line of enterprise AI, where your credibility comes from doing the work alongside your team, not just directing it.
<h3 class="jobSectionHeader">
Areas of ownership:</h3>
<ul><li>Team Leadership: Own hiring for Agent Architect roles, run weekly 1:1s, performance reviews, and career conversations, and build development plans that help each person grow. Set ramp expectations for new hires and coach Associate and mid-level Agent Architects on prompt engineering, conversation design, and customer-facing judgment.</li>
<li>Capacity and Stakeholder Alignment: Set team goals and OKRs aligned with Professional Services priorities, manage capacity and workload across concurrent engagements, and surface resourcing tradeoffs early. Represent the Agent Architecture team to Sales, Product, Engineering, customers, and partners.</li>
<li>Hands-on Agent Delivery: Personally guide customers through AI Agent implementations, from strategic advice to scoping to end-to-end delivery. Serve as the escalation point when agent performance degrades.</li>
<li>Quality and Best Practices: Define what good looks like for agent quality, enforce it through review, and make it repeatable across every live project. Document best practices for internal and external audiences, and turn recurring field problems into structured feedback for Product.</li>
</ul><h3 class="jobSectionHeader">Who you are:</h3>
<ul><li>Experience leading people, whether as a formal manager, team lead, or through sustained mentorship where you owned a group's growth and output. First-time managers with a strong coaching track record are welcome.</li>
<li>3+ years of conversation design and AI agent development experience, with a track record of building scalable solution architecture and conversational experiences grounded in real user needs.</li>
<li>Skilled in advanced prompt engineering, comfortable integrating REST APIs and working with Javascript.</li>
<li>Strong project and stakeholder management skills, with significant experience working with enterprise customers, including in escalated or high-pressure situations.</li>
<li>Sound judgment on capacity and prioritization: you can say what your team can and cannot absorb, and back it up with reasoning.</li>
</ul><h3 class="jobSectionHeader">Our recruiting process:</h3>

Talent Acquisition Hiring Manager Technical Interview(s) Bar Raiser
<h3 class="jobSectionHeader">
Why Parloa?</h3>

We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.<div> 

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.
<ul><li>We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.</li></ul></div></div>

Manager, Agent Architecture

Blue Yonder

<div><h2 class="jobSectionHeader">End-to-End Principal Architect - WMS</h2>
Job Profile Summary 
E2E Principal Architect is a self-driven associate who will lead the end-to-end implementation of large footprint Blue Yonder solutions for Warehouse Management Solutions starting with the overall architecture of the solution, partnering with all key stakeholders to drive the implementation of all the multiple business releases within the program, be the single point of contact for all customer business stakeholders on the overall solution footprint.<h3 class="jobSectionHeader">
Job Description</h3>
Overview
The End-to-End Principal Architect will work within the Consulting Services team at Blue Yonder to lead and manage the end-to-end solution design and implementation of Cognitive Execution Solutions, and Cognitive Warehouse Management Solutions for clients. The End-to-End Principal Architect will be responsible for ensuring project success by effectively communicating with clients, managing project timelines, and leading solution teams as part of a project. They will be accountable for the overall functional and technical designs, implementation and delivery of end-to-end solutions, and will work closely with the clients and the project teams to ensure that the solutions align with the client's business objectives and meet their requirements.
Our current technical environment
We leverage SaaS microservices and various Blue Yonder solutions and integrate with client solutions and landscapes.
What you will do:<ul><li>
Serve as the primary point of contact for clients throughout the project lifecycle</li><li>
Develop and manage project timelines and budgets</li><li>
Lead solution teams and ensure project deliverables meet client expectations</li><li>
Lead integration of the core product to develop solutions utilizing Platform</li><li>
Identify and manage project risks and issues</li><li>
Act as an internal consultant to other teams within Blue Yonder</li><li>
Design and implement end-to-end solutions based on client requirements and best practices</li><li>
Provide functional and technical guidance and mentorship to junior team members</li><li>
Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning</li><li>
Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet their technical requirements.</li><li>
Collaborate with the project managers, delivery partners, and other stakeholders to ensure that the solutions are delivered on-time, on-budget, and to the client's satisfaction.</li></ul>
What we are looking for (Team Specific Qualifications &amp; Education):<ul><li>
15 + years of experience in solution architecture and consulting or a related field</li><li>
Expertise in designing and implementing Blue Yonder (micro service based) Warehouse Management solutions</li><li>
Expertise in designing and implementing at least one other Execution solution &ndash; Warehouse Labour Management, Transportation Management, Order and/ or Returns Management</li><li>
Proven experience leading and managing solution projects</li><li>
Strong communication, interpersonal and presentation skills to be able to interact with customer at all levels, from CIO and Senior Supply Chain Leader downward.</li><li>
Ability to think strategically and solve complex problems</li><li>
Strong technical skills in one or more areas such as cloud infrastructure, software development, data engineering, and data analytics.</li><li>
Experience with project management tools and methodologies</li><li>
Strong ability to work in a fast-paced and dynamic environment</li><li>
Strong understanding of the software development life cycle and experience with Agile methodologies.</li><li>
Experience working with Supply Chain, logistics, retail and manufacturing industries would be a plus.</li></ul>
Our Values 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div>

Principal Architect (E2E) - WMS

NewRocket

<div>Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.

We are #GoingBeyond. Come join our Crew!

What You Will Be Doing

AI/ML Architecture &amp; Solution Delivery
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
Generative AI, Anthropic &amp; LLM Engineering
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
Agentic AI &amp; Workflow Orchestration
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
Machine Learning, NLP &amp; Data Science
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
Cloud, Data Engineering &amp; Platform Integration
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
AI Quality, Governance &amp; Responsible AI
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
ServiceNow, Automation &amp; Enterprise Experience
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
Analytics &amp; Visualization
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
What You Bring Along
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
Preferred Qualifications

Anthropic &amp; Claude Experience
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
Agentic AI &amp; LLM Operations
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
Education
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul> 


We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</div>

Agentic AI Architect-Anthropic-UK

Hyperoptic

Job title: Enterprise Architect NetCo
 Office location with Hybrid working: Hammersmith
 
About the role and the Team: 
The Enterprise Architect - NetCo / OSS is a senior individual contributor within the Enterprise Architecture function, accountable for the architecture of the OSS (Hypernet) domain that underpins our fixed-line, full-fibre broadband network. The role owns the target architecture, transition states and roadmap for OSS capabilities spanning network inventory, service fulfilment (order orchestration, provisioning and activation), and service assurance (fault, performance, diagnostics and test), ensuring these are coherent, scalable and aligned with the enterprise architecture and the company's customer-centric transformation goals.
 The role requires deep familiarity with FTTH/PON access network technologies (e.g. GPON/XGS-PON, OLT/ONT estates) and how the OSS integrates with the network layer via EMS/NMS platforms, network diagnostics and telemetry, alongside working knowledge of ServiceNow as it applies to network and service operations. The architect applies TM Forum standards (eTOM, SID, Open APIs) pragmatically, presents designs through the Architecture Review Board and Design Review Board, and works in close partnership with the Networks, Engineering, Data and Service Operations functions.
 Success requires outstanding communication and stakeholder management: the architect must be able to simplify complex network and OSS scenarios for executive, business and technical audiences, and to guide solutions through the full project delivery lifecycle to successful outcomes.
 What will you be doing?
 OSS Domain Architecture
 Own the definition, governance and evolution of the OSS (Hypernet) domain architecture, including target architecture, transition states and roadmap, aligned with the enterprise architecture and strategic vision.
 Architect core OSS capabilities: network inventory (physical, logical and service inventory), service fulfilment/order orchestration, provisioning and activation, and service assurance (fault, performance, test and diagnostics).
 Apply TM Forum frameworks (eTOM process map, SID data model, Open APIs) pragmatically to OSS designs, promoting reuse, open interfaces and vendor interoperability.
 Champion an AI-native approach to OSS architecture, enabling intelligent automation, predictive assurance and closed-loop operations.
 Network & Access Technology Alignment
 Work in close liaison with the Networks function to ensure the OSS accurately models and supports the FTTH/access network, including PON technologies (GPON/XGS-PON), OLT/ONT estates, and core/aggregation network evolution.
 Define how the OSS integrates with the network layer via EMS/NMS platforms, ensuring robust patterns for element discovery, configuration, alarms, performance data and network diagnostics (e.g. PON optical diagnostics, line test and remote ONT troubleshooting).
 Ensure network inventory remains an accurate, trusted source of truth, with clear data ownership, reconciliation and integrity controls between the network, EMS/NMS and OSS layers.
 Solution Design Oversight & Delivery
 Provide architectural leadership on strategic programmes touching the OSS domain, taking an end-to-end view across business, systems and network layers through the full project delivery lifecycle.
 Produce and review high-level and solution designs, presenting them through the Architecture Review Board (ARB) and Design Review Board (DRB) with clear rationale, options analysis and traceability.
 Define integration architecture between OSS and adjacent domains (BSS/ISP stack, ServiceNow-based workflow and field/service management, data platforms), favouring API-led, event-driven patterns.
 Actively resolve complex architectural and integration issues, providing clear direction and pragmatic solutions that keep delivery moving.
 Stakeholder Engagement & Communication
 Build strong, trusted relationships with stakeholders across Networks, Engineering, Service Operations, Data and delivery functions, acting as the recognised authority for OSS architecture.
 Present complex OSS and network scenarios in a clear, simple and compelling way to audiences ranging from engineers to senior leadership.
 Support the management of OSS/EMS vendor and supplier relationships, contributing to evaluations, selections and roadmap discussions.
 Standards, Governance & Continuous Improvement
 Contribute to enterprise architecture standards, principles, patterns and reference architectures, ensuring consistency, scalability, security and data integrity across OSS designs.
 Maintain awareness of industry direction (TM Forum ODA, autonomous networks, AI/GenAI in operations) and translate it into pragmatic improvements to the OSS roadmap.
 
What we are looking for?: 
University degree in Computer Science, Engineering, Telecommunications or equivalent experience
 TOGAF, TM Forum or equivalent architecture certification - DESIRABLE
 Significant experience in solution/enterprise architecture within telecoms, with deep expertise in the OSS domain (inventory, fulfilment, assurance)
 Strong familiarity with fixed-line broadband and FTTH/access networks, including PON technologies (GPON/XGS-PON), OLT/ONT architectures and access network topology
 Experience architecting OSS integration with EMS/NMS platforms, including alarm/fault management, performance management and network diagnostics (e.g. optical/line test, remote ONT diagnostics)
 Working knowledge of TM Forum frameworks (eTOM, SID, Open APIs) and their pragmatic application
 Familiarity with ServiceNow, particularly as applied to network/service operations workflows (e.g. ITSM, Telecommunications Service Management, Field Service Management)
 Experience of integration architecture: API-led and event-driven patterns, orchestration and workflow design
 Experience of leading architecture on large-scale programmes through the full project delivery lifecycle, including Agile and hybrid delivery frameworks
 Exposure to AI/ML and generative AI applied to network operations(predictive assurance, closed-loop automation) - DESIRABLE
 Why work for us?
 We are proud to have been recognized as the Which? Great Value Broadband Provider in March 2026. In 2023, we were voted Broadband Provider of the Year at the Uswitch Telecoms Awards by 20,000 customers and received the Fair Terms Gold Award. Additionally, we have earned the Great Place to Work Certification (2022-23) and were named among the UK's Best Workplaces for Wellbeing (2022).
 Going beyond the expected
 Whatever we're doing - whether we're liaising with property professionals, delivering our network, or installing in a customer's home, going beyond the expected is the benchmark for everything we do. How we work is shaped by our three culture principles:
 We work smarter, together
 We stay focused
 We strive for excellence
 Some of our key Benefits
 Competitive salary
 Global Remote working for up to 2 week per year for those who are able to work remotely
 25 days' paid holiday increasing each year, to a max of 35
 Extra days off for your birthday, moving home, wedding/civil partnership and to volunteer
 Private medical Insurance provided by AXA health
 Life assurance giving you cover of 4 times your base salary
 Partnership with the Kings Trust
 Our pension scheme matches your contributions up to 4%
 Retail offers — discounts from hundreds of recognisable brands
 Free Hyperoptic broadband if you live in a Hyperoptic area
 Enhanced pay for new parents
 We're committed to providing equal opportunities to all applicants and employees. In fact, this is at the heart of our culture and values. We welcome applications from candidates from all walks of life.
 What happens next?
 You apply
 We carefully review your application
 We'll get back to you — even if it's a no (for now)

Enterprise Architect NetCo

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

Explore 342+ Ai solution architect in London this September. Find roles across top companies and apply now to boost your career.