{"id":2673896,"url":"https://alion.io/job/ltm-principal-architecture","title":"Principal - Architecture","company":{"id":9353,"name":"Ltm","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":137,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","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":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"C#","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-06-12T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T14:09:20Z","board_verified":true,"closed_at":null,"days_open":126,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":126},"description":"Key Responsibilities\n1. GenAI Solution Architecture & SDLC Acceleration \nDefine the target-state architecture and adoption roadmap for AI-led SDLC: where and how AI agents participate in planning, coding, review, testing, and deployment phases.Extend agents upstream into engineering design: spec-driven development (specs and design documents as the source of truth agents implement against), AI-assisted architecture documentation, and agent reviewers in design and code-review gates.Architect end-to-end GenAI solutions for the customer - agentic developer workflows, RAG pipelines, LLM-based applications - and scale successful patterns from pilot to production.Lead architecture transformation accelerated by AI - core/legacy modernization and new event-driven architecture (EDA) implementations - using agents for code comprehension, documentation, migration, functional-equivalence test generation, and event schema/handler scaffolding.Design AI-enabled business workflows with humans in the loop: document intake and extraction, confidence thresholds and exception routing, reviewer feedback loops, and end-to-end auditability.Enable and coach developer squads on agent-assisted engineering; define working practices, quality gates, and guardrails for AI-generated code.Lead a team of GenAI engineers delivering these solutions - setting technical direction, reviewing designs, and growing the team's agentic engineering capability.\nMeasure and report acceleration outcomes: cycle time, throughput, quality, and adoption metrics - and iterate the blueprint based on evidence.\nDefine and enforce architecture standards, design patterns, and responsible-AI practices (security, data privacy, auditability) for GenAI systems; operate architecture governance - design authority, decision records, and reviews - across delivery teams.\nEstablish evaluation and guardrails as first-class engineering: evaluation harnesses and golden datasets, hallucination and regression checks, output guardrails, and production monitoring for GenAI systems.\n2. Agentic Engineering & Tooling (hands-on)\nDesign multi-agent systems with defined roles - orchestrator, coder, reviewer, tester agents - including task routing, state management, and human-in-the-loop checkpoints.Hands-on configuration and governance of GenAI developer tooling at enterprise scale: agentic coding tools - CLI-driven coding agents and AI pair-programming solutions that go well beyond autocomplete-style copilots - including tool-server (MCP) setup, custom commands, hooks, and repository context/instruction files, plus agent SDKs and orchestration frameworks.Design and deploy MCP (Model Context Protocol) servers to expose the customer's tools, APIs, and data sources to AI agents; apply tool-use / function-calling patterns for LLM-driven agents.Select and integrate foundation models (e.g., Anthropic Claude, OpenAI GPT, Gemini) via APIs or managed platforms (AWS Bedrock, Azure OpenAI / AI Foundry, Google Vertex AI); design model-tiering and routing strategies - frontier reasoning models for complex work, fast lightweight models for high-volume steps, open-weight models (Llama, Mistral) where data residency requires - balancing capability, cost, and latency.Deploy and operate GenAI workloads within enterprise cloud estates: private endpoints and network isolation, identity and access management, quota / rate-limit and regional-availability planning, model gateways, and cost governance (token budgeting, caching, chargeback).Advanced retrieval patterns: GraphRAG / knowledge-graph-augmented retrieval, text-to-SQL over enterprise data.3. Context Engineering & Domain Knowledge Capture\nDesign and operate context engineering frameworks: repository instruction and context files, system prompts, retrieval strategies, context-window budgeting, and memory patterns - so agents carry accurate project, codebase, and domain context.Context engineering for business ontology: model the customer's domain as formal ontologies, taxonomies, and knowledge graphs - entities, relationships, and business rules - so agents reason over structured domain semantics, not just retrieved text.Model business processes as state machines: explicit lifecycle and state-transition models that let agents know where a case stands and which actions are legal - and deterministic state-machine orchestration to govern non-deterministic agent workflows.Capture and codify insurance domain knowledge: work with SMEs to elicit product structures, underwriting and claims rules, processes, glossaries, and regulatory constraints, and convert them into machine-usable assets - knowledge bases, taxonomies, RAG corpora, and golden datasets that ground agent output.Apply prompt engineering rigor: few-shot examples, chain-of-thought, structured output design, prompt versioning, and evaluation against golden datasets.Required Qualifications\n12-14 years of proven experience in technology leadership / principal or application architect roles on enterprise-scale, distributed multi-tier systems.Strong architecture pedigree: n-tier, microservices, and event-driven architecture (EDA) design - including messaging/streaming platforms (Kafka or cloud-native equivalents) - enterprise integration, API design and management, and cloud-native delivery on AWS, Azure, or GCP (IaaS/PaaS/SaaS, containers, CI/CD).Deep expertise in at least one major enterprise stack (Java/Spring, .NET, Python, or Node.js) with breadth across others; working proficiency in Python for GenAI development.Demonstrable agentic GenAI delivery: at least one agent-assisted engineering or LLM-based solution taken into production or a serious enterprise pilot - able to walk through the architecture, trade-offs, and measured outcomes.Practical, current knowledge of multi-agent design, MCP, RAG variants (hybrid search with re-ranking, agentic RAG, RAG over code and structured data), embeddings/vector search, prompt and context engineering, evaluation harnesses and guardrails, and LLM limitations (hallucination, context-window constraints, cost/latency, data privacy).Experience leading technology-driven programs - POCs, innovation initiatives, and solution asset development - through to large-scale delivery.Experience practicing Design Thinking and Systems Thinking in real-world scenarios.Outstanding client-facing communication: proven experience engaging customer stakeholders on requirements and delivery, and explaining complex technology in an easy-to-understand way.","description_format":"text","description_chars":6501,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Creative Agencies","Branding","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-16T04:31:30Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.213,"p_room":0.28,"age_days":126,"expected_fill_days":24,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ltm-principal-architecture","json_url":"https://alion.io/job/ltm-principal-architecture.json","meta":{"generated_at":"2026-10-16T16:54:32Z","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":1456,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":9353},"rest":"https://alion.io/mcp/rest/get_company?id=9353"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fltm-principal-architecture"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fltm-principal-architecture"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fltm-principal-architecture"},{"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/ltm-principal-architecture\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fltm-principal-architecture"}]}