{"id":1956595,"url":"https://alion.io/job/hellokindred-lead-agentic-ai-architect","title":"Lead Agentic AI Architect","company":{"id":4311,"name":"HelloKindred","domain":"hellokindred.com","url":"https://alion.io/company/hellokindred","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Birmingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":528,"currency":"GBP","period":"day","gross":null,"usd_annual":174750},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-06T12:54:43Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-13T05:53:57Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Who is HelloKindred?\nHelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.\nOur vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers - connecting ambitious talent to flexible opportunities with trusted brands.\n Anticipated Contract End Date/Length: October 19th, 2026 - March 31st, 2027\nWork Set-Up: Hybrid (3 days per week in office)\nOur client in the Information Technology and Services industry is looking for a Lead Agentic AI Architect to lead the design, architecture, and delivery of enterprise-scale Agentic AI and Generative AI solutions. The successful candidate will define AI architecture standards, drive innovation, and build intelligent autonomous systems that deliver measurable business outcomes across complex and regulated environments. This is a strategic and hands-on leadership role requiring deep expertise in LLMs, Agentic AI, RAG architectures, AI governance, cloud platforms, and large-scale engineering delivery.\nWhat you will do:\nDefine and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and autonomous workflows.\nDesign and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and tool integration.\nArchitect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems.\nEstablish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI.\nLead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms.\nDrive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial viability.\nProvide technical leadership to architects, engineers, data scientists, and senior business stakeholders.\nPartner with executive leadership to define AI strategy, roadmaps, investment priorities, and innovation opportunities.\n Bring 15+ years of software engineering, architecture, and platform leadership experience.\nDemonstrate 8+ years delivering AI/ML platforms in production environments.\nProven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale.\nStrong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries.\nDemonstrated experience leading large engineering teams and complex transformation programmes.\nShow a track record of delivering enterprise AI platforms from strategy through implementation and operationalisation.\nDemonstrate expertise in Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks.\nExperience with LangChain, LangGraph, Semantic Kernel, and AutoGen.\nHands-on experience with Azure AI Foundry / Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi-cloud architectures.\nStrong programming experience with Python, Java, Scala, TypeScript, and SQL.\nExperience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code.\nProficiency with GitHub Actions, GitLab, and Jenkins.\nKnowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks.\nMaster's degree in Computer Science, AI, Data Science, or related discipline preferred.\nAWS Solutions Architect Professional certification preferred.\nMicrosoft Azure AI Engineer certification preferred.\nGoogle Professional ML Engineer certification preferred.\nExecutive AI qualifications from leading institutions preferred.\nCombine deep technical expertise with strong business acumen and the ability to architect enterprise-scale Agentic AI platforms, influence executive stakeholders, and deliver secure, scalable, production-ready AI solutions within highly regulated environments.\n Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.\nHelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.\nWe appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.\nHelloKindred is an equal opportunity employer. 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