{"id":108460,"url":"https://alion.io/job/emb-global-engineering-manager-ai","title":"Engineering Manager - AI","company":{"id":44658,"name":"EMB Global","domain":"emb.global","url":"https://alion.io/company/emb-global","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":10,"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":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-08-23T23:31:20Z","employer_posted_date":null,"last_verified_at":"2026-08-23T23:31:20Z","board_verified":false,"closed_at":null,"days_open":54,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":54},"description":"We are looking for an Engineering Manager to lead a team building agentic AI and GenAI systems for enterprise clients. This is a player-coach role: you will manage engineers and their delivery while staying hands-on enough to review architecture, unblock hard technical problems, and hold the line on quality and craft. You will own team output, technical direction, and delivery predictability for your pod.\nResponsibilities:\nManage and grow a team of AI/ML and software engineers building agentic AI and GenAI systems in production.\nOwn technical direction for the team: architecture choices, design patterns, and code quality for agent workflows, RAG pipelines, and LLM integrations.\nPlan and track delivery: break down roadmaps into sprints, manage timelines, and remove blockers to keep the team predictable and on schedule.\nStay hands-on: review code and designs, pair on hard problems, and step in on critical issues when needed.\nOwn team hiring, onboarding, performance management, and career growth for engineers on the team.\nPartner with architects, product managers, and delivery leads to translate client requirements into engineering plans.\nOwn the engineering quality bar: testing, CI/CD, code review standards, and production reliability for AI systems.\nDrive adoption of evaluation, guardrails, and observability practices for agentic AI and LLM-based systems.\nRepresent the team's technical progress and risks to senior leadership and, where needed, to clients.\nRequirements:\n10+ years of hands-on software engineering experience, with a strong, unbroken technical track record.\nDemonstrated experience managing or leading engineering teams, including hiring, performance management, and career development.\nHands-on experience building agentic AI systems, including at least one major agent framework (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Bedrock Agents/Strands, or Semantic Kernel).\nPractical experience with GenAI/LLM systems: RAG pipelines, prompt engineering, structured outputs, and tool calling across providers.\nStrong Python skills (TypeScript/Node.js a plus), with production-grade testing, CI/CD, and API design practices.\nExperience managing delivery: sprint planning, estimation, and predictable execution against timelines.\nCloud-native experience on AWS and/or Azure: containers, serverless, event backbones, and vector databases.\nUnderstanding of LLM safety and reliability practices: guardrails, prompt-injection defenses, evaluation, and observability.\nPreferred Qualifications:\nExperience managing distributed or hybrid engineering teams.\nExperience integrating enterprise systems such as Salesforce, Microsoft Dynamics, ServiceNow, or SAP.\nExperience with fine-tuning, model distillation, or self-hosted/open-weight model deployment.\nExperience working with stakeholders from the Middle East, ideally government or semi-government entities.\nCertifications: AWS ML Specialty, AWS Solutions Architect Professional, or Azure Solutions Architect 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