{"id":3744110,"url":"https://alion.io/job/reflectionsglobal-lead-aiagentic-platform-architect","title":"Lead AI/Agentic Platform Architect","company":{"id":3800840,"name":"Reflectionsglobal","domain":"reflectionsglobal.com","url":"https://alion.io/company/reflectionsglobal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Thiruvananthapuram, India","Kochi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-11-04T12:06:10Z","employer_posted_date":null,"last_verified_at":"2026-11-04T12:06:10Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description :\n\nResponsibilities include :\n\nAgentic AI Architecture & Platform Engineering :\n\n- Design and architect scalable, enterprise-grade agentic AI platforms and solutions.\n\n- Define agent orchestration patterns, runtime architecture, workflows, and multi-agent communication mechanisms.\n\n- Architect prompt engineering frameworks, tool calling, connectors, and model integration strategies.\n\n- Design memory management, state persistence, and context management mechanisms.\n\n- Evaluate and implement RAG architectures and vector database integrations wherever applicable.\n\nLLM & AI Integration :\n\n- Design and integrate LLM-based applications using leading commercial and open-source models.\n\n- Establish model integration patterns, routing, fallback mechanisms, and model selection strategies.\n\n- Define reusable components and frameworks for agent development and deployment.\n\n- Optimize model performance, latency, scalability, and token consumption.\n\nAI Evaluation, Monitoring & Observability :\n\n- Define evaluation frameworks to measure agent accuracy, reliability, consistency, and performance.\n\n- Establish mechanisms for testing prompts, tools, workflows, and end-to-end agent behaviour.\n\n- Implement telemetry, monitoring, tracing, and observability for agentic systems.\n\n- Define mechanisms to identify hallucinations, failures, and performance bottlenecks.\n\nAI Safety, Security & Governance :\n\n- Identify and address security and governance gaps in agentic AI architectures.\n\n- Establish guardrails for responsible AI implementation, including access controls and data protection.\n\n- Define policies for tool permissions, human-in-the-loop controls, and agent execution boundaries.\n\n- Ensure appropriate compliance, auditability, and governance standards are incorporated into the architecture.\n\nTechnical Leadership & Architecture Assessment :\n\n- Assess existing AI and agentic platform architectures and map technical dependencies.\n\n- Identify architecture gaps, integration challenges, scalability risks, and opportunities for improvement.\n\n- Recommend target-state architecture and implementation roadmaps.\n\n- Collaborate with engineering, product, and business stakeholders to translate requirements into technical solutions.\n\n- Provide technical guidance and architectural direction to engineering teams.\n\nPrimary Skills :\n\n- 5+ years of experience in software architecture, AI engineering, platform engineering, or related technical roles, including recent hands-on experience building LLM-powered and agentic AI systems.\n\n- Strong understanding of agent orchestration frameworks, agent runtimes, multi-agent systems, and workflow automation.\n\n- Hands-on experience with LLM integrations, prompt engineering, function calling, and tool orchestration.\n\n- Experience designing memory, state management, context handling, and RAG-based architectures.\n\n- Knowledge of vector databases, embeddings, semantic search, and retrieval mechanisms.\n\n- Experience implementing AI guardrails, evaluation frameworks, and observability solutions.\n\n- Strong understanding of AI security, governance, data privacy, and responsible AI principles.\n\n- Ability to assess complex architectures, identify dependencies, and recommend scalable technical solutions.\n\n- Strong communication and stakeholder management skills.\n\nSecondary Skills :\n\n- Experience with frameworks and platforms such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.\n\n- Exposure to cloud-based AI ecosystems such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.\n\n- Experience with vector databases such as Pinecone, Weaviate, Qdrant, or Azure AI Search.\n\n- Familiarity with agent evaluation tools, tracing, and monitoring frameworks.\n\n- Experience designing enterprise AI platforms with security, scalability, and cost optimization considerations.\nSkills\nArtificial Intelligence, Agentic AI, Prompt Engineering, LLM, AI Integration, Azure, OpenAI, LangChain, LangGraph","description_format":"text","description_chars":3973,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Information Technology","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-11-04T12:31:35Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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