{"id":3728962,"url":"https://alion.io/job/allianz-ai-tech-lead-data-engineering-d3006-3","title":"AI Tech Lead (Data Engineering)_D3006","company":{"id":1757325,"name":"Allianz","domain":"allianz.com","url":"https://alion.io/company/allianz-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":139,"ghost_share":0.007,"stale_share":0.007,"repost_share":0.079,"time_to_fill_p50_days":14,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GPT-4","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Vertex AI","optional":false},{"name":"Zero Trust","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Bicep","optional":true},{"name":"FinOps","optional":true},{"name":"MLFlow","optional":true},{"name":"OCR","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-04T05:26:46Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T16:25:21Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Purpose of the Role\nThe AI Lead is a senior technical leadership role responsible for driving the end-to-end delivery of AI and Agentic AI solutions. You will own the technical direction of AI projects, lead a team of AI Engineers, and serve as the bridge between business stakeholders, solution architects, and engineering teams. You are accountable for solution quality, delivery cadence, and production readiness of AI workloads.\nKey Accountabilities\nTechnical Leadership & Architecture\nOwn the technical delivery of AI solutions from ideation through to production deployment\nDefine and enforce solution architecture patterns including single-agent, multi-agent, and orchestration topologies\nMake technology selection decisions with cost, performance, and maintainability trade-offs\nDesign and approve prompt architectures, retrieval strategies, and context assembly patterns\nEstablish reference architectures and reusable design patterns for the AI engineering team\nDelivery Management\nLead AI projects through a stage-gated delivery model: Ideation → Framing → Design → Build → Test → UAT → Production\nOwn design approval gates and ensure every deliverable meets agreed quality bars before stage exit\nManage non-functional requirements (latency, cost-per-task, throughput) and ensure they are met at each gate\nDrive parallel workstreams (e.g., systems data readiness alongside agent build) to prevent schedule slip\nCoordinate cross-team dependencies with platform, MLOps, data, and business teams\nTeam Leadership\nLead, mentor, and grow a team of AI Engineers across agent development, prompt engineering, and LLM integration\nConduct code reviews and AI engineering quality checks\nEstablish and enforce development standards, coding guidelines, and engineering best practices\nFoster a culture of experimentation, continuous learning, and knowledge sharing\nManage team capacity, sprint planning, and delivery commitments\nAgentic AI & LLM Expertise\nDesign and oversee agentic orchestration solutions (multi-agent systems, state management, human-in-the-loop patterns)\nLead prompt engineering strategy including system prompt design, few-shot patterns, chain-of-thought reasoning, and prompt versioning\nArchitect Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, embedding models, and retrieval quality evaluation\nDrive evaluation harness design: golden-set creation, grading rubrics, pass-bar thresholds, and CI-integrated eval suites\nEnsure non-determinism is managed through stable eval scores across consecutive runs\nSecurity & Governance\nEnsure all AI solutions follow zero-trust security principles: managed identities, no secrets in code, defence in depth\nIntegrate content safety checks on all LLM inputs and outputs\nDesign and enforce guardrails for agent actions including blast-radius assessment and fallback paths\nOwn adversarial testing strategy: prompt injection, jailbreak, and tool-misuse test packs\nContribute to governance frameworks including model cards, explainability documentation, and audit evidence\nStakeholder Engagement\nTranslate business requirements into feasible AI solution designs\nPresent architecture decisions, PoC findings, and delivery progress to senior stakeholders\nCollaborate with business SMEs on use-case framing, autonomy-level decisions, and acceptance criteria\nParticipate in joint go/no-go gates for production deployment\nObservability & Operations\nDefine observability and trace design requirements for AI workloads (logging, telemetry, cost tracking)\nEstablish alert thresholds, on-call procedures, and hypercare plans for production AI systems\nDrive token usage monitoring, cost optimisation, and model-tier selection strategies\nOwn post-deployment monitoring, prompt optimisation, and continuous improvement cycles\nRequired Skills & Experience\nEssential\n8+ years in software engineering with at least 3 years focused on AI/ML solutions\n2+ years of hands-on experience with Large Language Models (GPT-4 class or equivalent) in production environments\nProven experience designing and delivering agentic AI systems (multi-agent orchestration, tool-calling, state management)\nStrong proficiency in Python and modern AI frameworks (LangChain, LangGraph, Semantic Kernel, or equivalent)\nDeep understanding of prompt engineering: system prompts, context assembly, retrieval strategies, and evaluation methods\nExperience with RAG architectures: vector databases, embedding models, chunking strategies, retrieval quality metrics\nHands-on experience with cloud AI platforms (Azure AI, AWS Bedrock, GCP Vertex AI, or equivalent)\nExperience leading engineering teams (2-6 direct reports) with a track record of delivering production AI systems\nStrong understanding of CI/CD for AI workloads including eval-suite integration and automated testing\nKnowledge of identity and security patterns: managed identities, RBAC, content safety, zero-trust principles\nDesirable\nExperience with event-driven architectures (Kafka, Service Bus, or equivalent messaging systems)\nFamiliarity with ML model serving and MLOps (MLflow, model registries, drift detection)\nExperience with OCR / Document Intelligence solutions\nKnowledge of FinOps practices for AI workloads (token cost tracking, model-tier optimisation, budget governance)\nExperience with rules engines (Drools, or equivalent)\nInsurance, financial services, or other regulated-industry experience\nFamiliarity with Infrastructure-as-Code (Terraform, Bicep, or equivalent)\nKey Competencies\nTechnical Depth\nCan go deep on LLM internals, agent orchestration, and system design while maintaining a broad architectural view\nDelivery Focus\nDrives outcomes through structured delivery with clear gates, quality bars, and accountability\nCommunication\nTranslates complex AI concepts for business audiences; writes clear design documents and architecture decision records\nPragmatism\nBalances innovation with production readiness; knows when to PoC and when to ship\nSecurity Mindset\nTreats security as non-negotiable; designs with defence in depth from day one\nPeople Leadership\nGrows engineers through mentoring, code review, and creating space for experimentation\nCollaboration\nWorks effectively across business, data, platform, and operations teams with a joint-accountability mindset\nWhat Success Looks Like (First 12 Months)\nDelivered 2-3 AI/agentic solutions to production with measurable business impact\nEstablished engineering standards, templates, and accelerators adopted by the wider team\nBuilt and maintained an evaluation framework with CI-integrated golden-set testing\nAchieved stable production operations with defined SLAs, observability, and incident response\nGrown the AI engineering team's capability through mentoring, knowledge sharing, and structured onboarding\nContributed to cross-cutting frameworks (security, observability, governance) used across the organisation\n Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.\nAt Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.\nWe therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.\nGreat to have you on board. Let's care for tomorrow.","description_format":"text","description_chars":7922,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":2,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Asset Management & Funds","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-11-04T06:58:28Z"}],"visa":[],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.891,"p_room":0.9,"age_days":6,"expected_fill_days":14,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/allianz-ai-tech-lead-data-engineering-d3006-3","json_url":"https://alion.io/job/allianz-ai-tech-lead-data-engineering-d3006-3.json","meta":{"generated_at":"2026-11-10T19:48:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11461,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1757325},"rest":"https://alion.io/mcp/rest/get_company?id=1757325"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallianz-ai-tech-lead-data-engineering-d3006-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fallianz-ai-tech-lead-data-engineering-d3006-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fallianz-ai-tech-lead-data-engineering-d3006-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/allianz-ai-tech-lead-data-engineering-d3006-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallianz-ai-tech-lead-data-engineering-d3006-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3728962}},{"tool":"search_jobs","arguments":{"company":"allianz.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3728962},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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