{"id":3179055,"url":"https://alion.io/job/accellor-delivery-manager","title":"Delivery Manager","company":{"id":456,"name":"Accellor","domain":"accellor.com","url":"https://alion.io/company/accellor","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Product","role_family":"Product","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"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":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Snowflake","optional":false},{"name":"Agile","optional":true},{"name":"LangChain","optional":true},{"name":"Microsoft Fabric","optional":true}],"status":"live","first_seen_at":"2026-10-23T20:36:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T20:36:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for a delivery leader to own the end-to-end execution of our AI and Data engagements for large enterprise clients, Fortune 500 and Fortune 100 organisations across industries. These are high-stakes transformation programs where the work spans agentic AI, generative AI, and modern data platforms.\n\nThe role flexes by program shape. At peak, you may run a single large, multi-POD program with a sizable embedded team. At other times, you will run a portfolio of two to three smaller engagements in parallel, typically with five to eight people each. We expect you to be equally comfortable orchestrating a large team through governance and cadence, and staying hands-on across several smaller teams without dropping a thread.\n\nYou are accountable for delivering to plan, keeping teams efficient and well-utilised, protecting delivery quality, and sustaining client confidence in programs that are watched closely by senior enterprise stakeholders.\n\nThe candidate will have responsibilities across the following functions: \n\nDelivery execution and governance: \nOwn end-to-end delivery of one large program or 2-3 parallel engagements against committed scope, timeline, and quality.\nRun the delivery rhythm: planning, sprint cadence, status reporting, risk and dependency management, and escalation discipline.\nKeep delivery on plan; flag scope creep, slippage, and risk early and credibly.\n\nAgentic and GenAI delivery leadership: \nLead delivery of agentic and GenAI solutions, applying the right rigour to non-deterministic systems evaluations, guardrails, model/version drift, and human-in-the-loop gating.\nSet realistic, honest expectations with clients on what agentic systems can and cannot do today.\nPartner with the AI Labs and POD teams to move solutions from pilot to production reliably.\n\nTeam and POD leadership: \nLead and coach POD leads, Forward Deployed Engineers, and engineering teams; set standards and unblock the team.\nManage staffing, ramp-up, and clean resource movement across engagements as priorities shift.\nBe the most senior delivery presence in the room, technically credible enough that the team respects your judgement.\n\nClient and stakeholder management: \nBe the trusted delivery point of contact for senior client stakeholders, including CIO-, VP-, and director-level.\nTranslate between client objectives and technical reality; protect the relationship while holding firm on scope and quality.\nNavigate a multi-vendor environment and keep the engagement positioned as a confident, neutral advisor.\n\nDelivery health and efficiency: \nKeep teams efficient and right-sized; manage utilisation and cost discipline within the agreed staffing envelope.\nSurface commercial risks (scope creep, change requests, staffing pressure) early to the Practice Head.\n\nRequirements: \n10+ years total experience, with 5+ years in delivery leadership inside a services or consulting model.\nDemonstrated track record running both a large, multi-team program and parallel engagements, so the flex between the two modes is proven, not aspirational. Genuine, hands-on understanding of agentic and GenAI delivery: evaluations, guardrails, human-in-the-loop, and the realities of shipping non-deterministic systems.\nStrong overall technical depth, these are complex, production-grade agentic AI applications, and the delivery lead must be able to engage credibly on architecture, integration, and engineering trade-offs, not just process.\nFamiliarity with common multi-agent frameworks and orchestration patterns (e. g., LangGraph, AutoGen, CrewAI, Semantic Kernel) and the major cloud AI and data stacks (Azure, AWS, GCP).\nCredible data-platform delivery experience, having shipped a real data foundation (e. g., lakehouse / Fabric / Databricks / Snowflake or equivalent), not just consumed one.\nSolid understanding of business processes and how AI solutions map to real business outcomes, able to connect what the team builds to the value the client is after.\nTrack record delivering for large enterprise clients (Fortune 500 / Fortune 100), with awareness of enterprise security, compliance, and data governance expectations at that scale.\nStrong senior-stakeholder presence and the ability to say no credibly when scope drifts.\nPlayer-coach posture: senior enough to own a portfolio, hands-on enough to earn the team's technical respect.\n\nNice-to-have: \nDelivery experience across multiple industries (high-tech, retail, manufacturing, financial services, healthcare).\nRelevant certifications (PMP, SAFe/Agile, cloud or AI platform certifications).\nExposure to a POD-based, Forward-Deployed-Engineer delivery model.\nComfort with global clients and time zones, and periodic travel.\nSkills\nAWS, Azure, Databricks, GCP, GenAI, Microsoft Fabric, Snowflake, agentic, generative AI, 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