{"id":3303220,"url":"https://alion.io/job/hcltech-senior-solution-architect-dpo-4","title":"Senior Solution Architect (DPO)","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Kanban","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Waterfall","optional":false},{"name":"Anthropic","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true},{"name":"Smartsheet","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:14:34Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T03:13:38Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Summary\nAI/ML & Gen AI Program Delivery\nPosition Overview\nWe are seeking a seasoned Project Manager with a strong track record of leading complex, large-scale technology programs, including significant experience delivering AI/ML, Generative AI, and Agentic AI initiatives. The ideal candidate combines deep project and program management expertise with hands-on exposure to modern AI-driven solution delivery.\nKey Responsibilities\nKey Responsibilities\nLead end-to-end project and program management for enterprise technology initiatives, ensuring delivery within scope, schedule, budget, and quality parameters.\nManage the full lifecycle of AI/ML and Generative AI / Agentic AI projects, from use-case discovery, data readiness, and model/POC development through validation, deployment, and scaling into production.\nOwn delivery of Agentic AI initiatives, including multi-agent workflow design coordination, tool/API integration planning, and orchestration framework rollouts (e.g., LangChain, AutoGen, Semantic Kernel).\nCoordinate closely with data science, ML engineering, MLOps, and platform teams to manage model training, fine-tuning, evaluation, and prompt engineering timelines.\nDrive Agile Project Management practices across teams - acting as Scrum Master/Agile PM where needed, running sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives.\nApply Agile, Scrum, Kanban, SAFe, or hybrid (Agile-Waterfall) frameworks based on project needs, tailoring ceremonies and artifacts to AI/ML delivery cycles.\nPartner with data science, engineering, product, and business stakeholders to define project scope, objectives, KPIs, and success metrics for AI initiatives.\nDevelop and maintain detailed project plans, roadmaps, resource plans, sprint backlogs, and risk/issue registers.\nManage AI-specific risks including model bias, data privacy, hallucination/quality issues, compute/cost overruns, and third-party LLM API dependencies.\nTrack and report AI project health using metrics such as model accuracy/performance benchmarks, sprint velocity, burndown, and time-to-production.\nManage multiple concurrent projects/programs, ensuring alignment with overall business, data, and AI strategy.\nCommunicate progress, risks, and dependencies to senior leadership and stakeholders through clear, concise reporting and demos.\nIdentify, assess, and mitigate program risks, including those specific to AI/ML model development, data governance, and responsible AI practices.\nManage vendor, procurement, and third-party relationships, including LLM/API vendors and AI tooling providers.\nMentor and guide project teams, fostering a culture of accountability, collaboration, agile mindset, and continuous improvement.\nEnsure proper documentation, governance, model/version tracking, and compliance throughout the AI project lifecycle.\nSkill Requirements\nRequired Qualifications\nExperience\n15+ years of overall experience in Project Management and Program Management, delivering complex technology programs.\n 5+ years of hands-on experience specifically managing AI/ML projects, including exposure to Generative AI (Gen AI) and Agentic AI initiatives.\nDemonstrated experience managing cross-functional teams across data science, engineering, and business functions.\n Strong hands-on experience in Agile Project Management - running Scrum/Kanban/SAFe ceremonies, managing sprint backlogs, velocity tracking, and iterative delivery for both traditional and AI/ML projects.\nExperience with Agile, Scrum, Waterfall, or hybrid project delivery frameworks.\nCertifications (any one required)\nPMP (Project Management Professional), PMI-ACP (PMI Agile Certified Practitioner)\nPgMP (Program Management Professional), CSM (Certified Scrum Master), A-CSM (Advanced Certified Scrum Master), CSP (Certified Scrum Professional)\nEducation\n Bachelor’s degree in engineering - BE or B. Tech only (mandatory).\nPreferred Skills\nDeep familiarity with AI/ML project management practices - managing data pipelines, model experimentation cycles, MLOps pipelines, LLMOps, and CI/CD for ML.\nWorking knowledge of LLM frameworks and Gen AI tooling (e.g., OpenAI, Anthropic, LangChain, LlamaIndex, vector databases such as Pinecone/Weaviate).\nExperience managing Agentic AI initiatives - multi-agent orchestration, tool-calling workflows, and autonomous agent governance.\nStrong grounding in Agile Project Management tools and practices - JIRA/Azure DevOps boards, sprint reporting, velocity and burndown tracking, backlog prioritization.\nUnderstanding of Responsible AI, data privacy, and governance considerations in AI project delivery.\nAbility to translate AI/ML technical concepts into business-friendly project plans, timelines, and risk assessments.\nStrong stakeholder management, negotiation, and executive communication skills.\nProficiency with project management tools (e.g., JIRA, MS Project, Confluence, Smartsheet, Azure DevOps).\nKey Attributes\nStrategic thinker with strong analytical and problem-solving abilities.\nExcellent leadership, team-building, and conflict-resolution skills.\nAbility to thrive in a fast-paced, evolving AI technology landscape.\nStrong ownership mindset with a focus on delivery excellence.\nOther Requirements\nnull","description_format":"text","description_chars":5248,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":15,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Professional Services","Science & Engineering","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-27T00:14:34Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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