ai engineer

platform engineer

ai software engineer

analytics engineer

systems engineer

ai security architect

Cognizant

Cloud Architect (DevSecOps & LLMOps Engineer)
 Location: London, United Kingdom (Hybrid – 50% work from client office)
 Employment Type: Full-time
 Security Clearance: Must hold or be eligible to obtain UK Security Check (SC) Clearance
 About the Role
 As a Cloud Architect (DevSecOps & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.
 
In this role, you will: 
Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services.
 Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.
 Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.
 Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
 Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
 What You Need to Have to Be Considered
 Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.
 Strong experience with DevSecOps practices including GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
 Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation.
 Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.
 Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.
 Excellent communication, stakeholder management, and client-facing skills.
 Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
 Must currently reside in the United Kingdom.
 Must be available to start within 4 weeks of receiving an offer.
 Must hold or be eligible to obtain UK Security Check (SC) Clearance.
 These Will Help You Stand Out
 Experience with Kubernetes/EKS, Docker, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, and serverless architectures.
 Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.
 Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.
 Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.
 Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.
 
Additional eligibility requirements: 
<ul>
<li>Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance</li>
<li>Candidates must be available to start within 4 weeks of receiving an offer.</li>
</ul>
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cloud Architect

FalconSmartIT

<div>Job Title : Enterprise Architect - Banking Transformation, Cloud &amp; AI
Job Location :London, UK (4 days per week from office)
Job Type: FTE 
 
Job Description : 
 
About the Role
We are undertaking a significant transformation of the Bank and are reimagining how we build a genuinely modern, intelligent banking platform for the future. This transformation spans Payments, FX, Data, Cloud, and AI, and will redefine both our technology landscape and future operating model.
This is a high-impact leadership role for an experienced Enterprise Architect who has successfully led large-scale banking transformations and can bridge the gap between strategic vision and practical execution. We're not seeking someone who governs architecture from the sidelines. We need a hands-on architectural leader who can shape the future direction of the Bank, challenge traditional thinking, and work closely with engineering and transformation teams to deliver tangible outcomes.
A key aspect of this role is helping to define how emerging technologies, including AI, agentic architectures, intelligent orchestration, and automation, can be leveraged to create the next generation of banking capabilities.
Key Responsibilities
Enterprise Architecture Leadership
<ul><li>Define and own the Bank's end-to-end enterprise architecture strategy and roadmap.</li>
<li>Establish architectural principles, standards, and target-state technology architectures across business and technology domains.</li>
<li>Align technology investments with strategic business objectives and regulatory requirements.</li>
<li>Proven experience leading enterprise architecture functions within banking or financial services.</li>
<li>Demonstrated success delivering large-scale technology transformation programmes.</li>
<li>Deep domain expertise in one or more of:</li>
<li>Banking platforms</li>
<li>Payments</li>
<li>FX and Treasury systems</li>
<li>High-volume transaction processing environments</li>
<li>Strong understanding of both legacy and modern technology estates.</li>
<li>Significant experience designing and implementing:</li>
<li>Event-driven architectures</li>
<li>Distributed systems</li>
<li>Cloud-native solutions</li>
<li>API ecosystems</li>
<li>Experience working within highly regulated environments.</li>
<li>Track record of influencing and partnering with executive-level stakeholders.</li>
</ul>Desired Experience
<ul><li>Experience with multi-cloud environments (Azure, AWS, GCP).</li>
<li>Knowledge of AI, Generative AI, Agentic AI frameworks, and intelligent automation.</li>
<li>Experience defining target operating models and business capability architectures.</li>
<li>Familiarity with data mesh, real-time analytics, and enterprise data platforms.</li>
<li>Understanding of modern banking ecosystem trends, open banking, and embedded finance.</li>
</ul>Skills &amp; Competencies
<ul><li>Strategic thinking with strong execution focus.</li>
<li>Exceptional stakeholder management and influencing skills.</li>
<li>Strong leadership presence and communication abilities.</li>
<li>Commercial and business acumen.</li>
<li>Ability to navigate ambiguity and drive organizational change.</li>
<li>Deep understanding of technology risk, security, and regulatory considerations.</li>
<li>Passion for innovation and the future of AI-enabled banking</li></ul></div>

Enterprise Architect - Banking Transformation, Cloud & AI

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

Appvia

<div>Principal Cloud Network Architect - Active UK Government Security Clearance Required
Location: UK - Hybrid / customer-site requirements TBC
Contract: Permanent, Full-time
Package: &pound;85,000 - &pound;95,000 + 10% Bonus + 10% Shares + Benefits
About Appvia
Appvia is a specialist cloud, platform, and solutions engineering consultancy, helping organisations modernise infrastructure, improve reliability, and adopt cloud-native practices that enable long-term, sustainable delivery.
Our engineering capability spans AWS, Azure, platform engineering, networking, software, data, AI, delivery, and managed services.
We work across complex, high-impact environments in both the public and private sector, delivering solutions where security, resilience, scalability, and operational excellence are critical.
About the Role
We&rsquo;re hiring a Principal Cloud Networking Architect to join Appvia on a new secure public sector engagement, providing technical leadership across complex cloud, hybrid, and enterprise networking environments.
This is an architecture-led role for someone who can own technical direction, translate complex requirements into practical network solutions, and provide assurance across design and delivery.
You&rsquo;ll work across AWS cloud networking, hybrid connectivity, secure landing zones, network architecture, and technical governance, acting as a trusted technical authority for Appvia and our customer.
While the initial engagement has a strong networking and live-service focus, you&rsquo;ll also sit within Appvia&rsquo;s wider cloud and platform engineering capability, with opportunities to influence architecture and engineering standards across future programmes.
Interview Process - 3 Stage<ul><li>
Discovery conversation with Talent Acquisition</li><li>
Technical &amp; Architecture Interview with Engineering Team</li><li>
Final Interview with Leadership</li></ul>
Important
You must hold active UK Security Clearance (SC).
NPPV3 clearance is highly desirable. 
Requirements 
 
About You
You are a senior cloud and network architect with the technical depth to operate across both enterprise networking and modern cloud environments.
You will bring:<ul><li>
Strong experience owning cloud and network architecture across complex enterprise environments</li><li>
Deep AWS networking knowledge across secure, scalable, and highly available architectures</li><li>
Experience designing hybrid cloud connectivity and multi-account network environments</li><li>
Strong understanding of enterprise routing, network segmentation, security, and resilience</li><li>
Experience designing cloud landing zones and their associated networking architecture</li><li>
Strong understanding of network and cloud security principles</li><li>
Experience producing and reviewing architecture documentation and technical designs</li><li>
Confidence operating within Technical Design Authority or architectural governance processes</li><li>
Ability to evaluate designs against security, operational, and regulatory requirements</li><li>
Strong stakeholder management and the ability to communicate complex technical decisions clearly</li><li>
Experience working in regulated, enterprise, or public sector environments</li><li>
Active UK SC clearance</li></ul>
Responsibilities<ul><li>
Own cloud and network architecture across complex customer environments</li><li>
Define technical direction for secure, scalable, and resilient networking solutions</li><li>
Design AWS network architectures across multiple accounts, workloads, and environments</li><li>
Shape hybrid connectivity between cloud and on-premises infrastructure</li><li>
Define networking patterns for cloud landing zones and platform environments</li><li>
Provide architectural leadership across routing, connectivity, segmentation, security, and resilience</li><li>
Produce and review high-level and detailed technical designs</li><li>
Provide technical assurance and governance across network and cloud changes</li><li>
Assess architectural decisions against security, operational, and regulatory requirements</li><li>
Identify technical risks, dependencies, and opportunities for improvement</li><li>
Work closely with network engineers, platform engineers, security teams, service management, and customer architects</li><li>
Act as a trusted technical advisor to senior customer stakeholders</li><li>
Support and mentor engineers while raising architecture and engineering standards</li></ul>
Technical Skills
Core technologies / experience:<ul><li>
AWS cloud networking</li><li>
VPC architecture</li><li>
Transit Gateway</li><li>
Direct Connect</li><li>
Route 53</li><li>
Hybrid cloud connectivity</li><li>
Multi-account AWS networking</li><li>
Enterprise routing and network architecture</li><li>
Network segmentation and security</li><li>
Secure cloud landing zones</li><li>
High availability and disaster recovery</li><li>
Architecture governance and assurance</li><li>
Technical Design Authority experience</li></ul>
Nice to have:<ul><li>
AWS Certified Advanced Networking - Specialty</li><li>
AWS Solutions Architect - Professional</li><li>
Wider AWS professional or specialty certifications</li><li>
Multi-cloud networking experience</li><li>
Cloud security architecture</li><li>
Enterprise and application integration architecture</li><li>
Infrastructure-as-code and network automation exposure</li><li>
CCNP / CCIE or equivalent networking certifications</li><li>
NPPV3 clearance</li></ul> 

Benefits 
Why join Appvia?
We are a self-funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud.
We are on a mission to enable organisations to make cloud-based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry.
With us our customers, like the UK&rsquo;s Home Office &amp; Bank of England, are harnessing cloud-native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products.
What&rsquo;s on offer?<ul><li>️ Work-life balance</li></ul><ul>
<li>Flexible working with core hours of 10-4pm because we know life happens outside of work</li>
<li>Hybrid working - only one compulsory office day per month
</li><li>25 days&rsquo; holiday a year, plus bank holidays</li>
<li>An additional day off for your birthday</li>
<li>Enhanced maternity and paternity to full pay</li>
<li>Workplace Nursery Benefit to help working parents
 </li></ul>For your well-being<ul>
<li>Full Private Healthcare cover for you with partners and children covered 50%</li>
<li>Death in Service</li>
<li>Cycle to Work scheme
</li><li>Electric Car Scheme</li>
<li>Pension plus a salary sacrifice option for even greater savings</li>
<li>Employee Assistance Programme</li>
<li>Free hygiene products available in the London office</li>
 </ul>Mental health support<ul>
<li>Free therapy through AXA</li>
<li>Access to the Headspace App</li>
<li>Trained Mental Health First Aiders</li>
</ul>Other fun perks<ul>
<li>Learning budget of &pound;1,000 a year</li>
<li>Your own MacBook Pro while you work at Appvia</li>
<li>Dog friendly office</li>
<li>Wear what makes you comfortable</li>
<li>Free snacks in the office</li>
<li>Regular team socials, board game nights, industry meetups and more!</li>
<li>Pool table &amp; ping pong table</li>
</ul>But don&rsquo;t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.
Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.</div>

Principal Cloud Network Architect - Active UK Government Security Clearance

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

Thrive

<div>Thrive delivers upon the promise of technology by enabling our clients&rsquo; digital transformation journeys with best practices on an AI, cybersecurity and cloud focused NextGen managed services platform.
Thrive&rsquo;s culture is powered by diverse talent, big ideas, and a customer-first mindset&mdash;and it&rsquo;s what truly sets us apart. Thrive is built for people who want more than a weekday routine. If you&rsquo;re hungry to grow, eager to tackle new challenges and ready to drive real impact in a rapidly expanding environment, then welcome to THRIVE!
Position Overview
The Solutions Architect &ndash; is a senior technical position within Thrive. This position serves as a technical resource for sales efforts of Sales Executives and Sales Leadership.<ul><li>
Duties include direct technical support to sales executives, direct customer involvement on complex sales opportunities, validation of all sales orders, ongoing enhancement of service and product descriptions, and interfacing with operations and engineering teams to keep up to date on all new service capabilities.</li><li>
Local / regional technical resource providing technical support to Sales Executives via direct customer interaction</li><li>
Participate in customer meetings and lead technical discussion. Present Thrive solutions to various levels within a client&rsquo;s organization, up to CIO level.</li><li>
Become a trusted advisor to prospects and customers to solve both business and technical challenges</li><li>
Interface with internal teams, providing feedback on key areas of customer focus and areas of concern</li><li>
Create documentation, including diagrams and technical specifics, to ensure completeness and supportability of solutions</li><li>
Prioritize areas of focus by reviewing sales pipelines with supported sales reps and sales managers</li><li>
Participate in customer-focused seminars, tradeshows, events, presentations, technology roadmap reviews and training.</li><li>
Stay up to date on emerging technologies and products, including attaining certifications and participation in industry events as appropriate.</li><li>
Provide ongoing product technical training to the Thrive direct sales organization and channel partners.</li></ul> 

Requirements 
<ul><li>
Experience working at a Managed/Cloud Service Provider in a Solutions Architect or comparable role, collaborating with clients, and working alongside the sales team</li><li>
5+ years&rsquo; experience with the design and implementation of a broad range of infrastructure solutions, such as:</li><li><ul><li>
Microsoft 365</li><li>
Cyber Security Solutions (MDR/EDR/Vulnerability Scanning/Etc.)</li><li>
VMware/Hyper-V</li><li>
Windows / Linux</li><li>
Hybrid Cloud Services (Private, Azure, AWS, Google, etc.)</li><li>
Networking</li><li>
Disaster Recovery</li><li>
Backup Solutions</li></ul></li><li>
Excellent communication skills and customer service skills</li><li>
Ability to articulate technical information and convey to a broad audience</li></ul></div>

Solutions Architect

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys.
 
As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.
 
Looking ahead to future opportunities: As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise.
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Solution Design Implementation</li>
<li>Modernisation Transformation</li>
<li>Thought Leadership Knowledge Sharing</li>
<li>Collaboration Leadership</li>
</ul>
Business Relationships
 <ul>
<li>Client Partners</li>
<li>Practice Leaders and Members</li>
<li>Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Demonstrated expertise in designing and implementing modern big data architectures for large enterprises.</li>
<li>Strong consulting values with the ability to engage effectively with senior client stakeholders.</li>
<li>Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.</li>
<li>Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.</li>
<li>Ability to align data strategies with business objectives, driving measurable value.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
<li>Proven experience leading data modernisation initiatives across multiple sectors.</li>
</ul>
Technical Expertise
 <ul>
<li>Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.</li>
<li>Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).</li>
<li>Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions.</li>
<li>Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java).</li>
<li>Familiarity with BI, data visualisation, and DevOps principles.</li>
<li>Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).</li>
<li>Exposure to machine learning and AI integration within modern data platforms.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4 years in modern big data solution architecture.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.</li>
<li>Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of modern big data solutions aligned to client business objectives.</li>
<li>High client satisfaction and repeat engagements.</li>
<li>Leadership in client transformation journeys to cloud-native data platforms.</li>
<li>Contribution to practice growth through assets, accelerators, and thought leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Databricks Solution Architect

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