Senior Solution Architect (DPO)

Job description

AI/ML & Gen AI Program Delivery Position Overview We 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. Key Responsibilities Key Responsibilities Lead end-to-end project and program management for enterprise technology initiatives, ensuring delivery within scope, schedule, budget, and quality parameters. Manage 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. Own 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). Coordinate closely with data science, ML engineering, MLOps, and platform teams to manage model training, fine-tuning, evaluation, and prompt engineering timelines. Drive 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. Apply Agile, Scrum, Kanban, SAFe, or hybrid (Agile-Waterfall) frameworks based on project needs, tailoring ceremonies and artifacts to AI/ML delivery cycles. Partner with data science, engineering, product, and business stakeholders to define project scope, objectives, KPIs, and success metrics for AI initiatives. Develop and maintain detailed project plans, roadmaps, resource plans, sprint backlogs, and risk/issue registers. Manage AI-specific risks including model bias, data privacy, hallucination/quality issues, compute/cost overruns, and third-party LLM API dependencies. Track and report AI project health using metrics such as model accuracy/performance benchmarks, sprint velocity, burndown, and time-to-production. Manage multiple concurrent projects/programs, ensuring alignment with overall business, data, and AI strategy. Communicate progress, risks, and dependencies to senior leadership and stakeholders through clear, concise reporting and demos. Identify, assess, and mitigate program risks, including those specific to AI/ML model development, data governance, and responsible AI practices. Manage vendor, procurement, and third-party relationships, including LLM/API vendors and AI tooling providers. Mentor and guide project teams, fostering a culture of accountability, collaboration, agile mindset, and continuous improvement. Ensure proper documentation, governance, model/version tracking, and compliance throughout the AI project lifecycle. Skill Requirements Required Qualifications Experience 15+ years of overall experience in Project Management and Program Management, delivering complex technology programs. 5+ years of hands-on experience specifically managing AI/ML projects, including exposure to Generative AI (Gen AI) and Agentic AI initiatives. Demonstrated experience managing cross-functional teams across data science, engineering, and business functions. 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. Experience with Agile, Scrum, Waterfall, or hybrid project delivery frameworks. Certifications (any one required) PMP (Project Management Professional), PMI-ACP (PMI Agile Certified Practitioner) PgMP (Program Management Professional), CSM (Certified Scrum Master), A-CSM (Advanced Certified Scrum Master), CSP (Certified Scrum Professional) Education Bachelor’s degree in engineering — BE or B. Tech only (mandatory). Preferred Skills Deep familiarity with AI/ML project management practices — managing data pipelines, model experimentation cycles, MLOps pipelines, LLMOps, and CI/CD for ML. Working knowledge of LLM frameworks and Gen AI tooling (e.g., OpenAI, Anthropic, LangChain, LlamaIndex, vector databases such as Pinecone/Weaviate). Experience managing Agentic AI initiatives — multi-agent orchestration, tool-calling workflows, and autonomous agent governance. Strong grounding in Agile Project Management tools and practices — JIRA/Azure DevOps boards, sprint reporting, velocity and burndown tracking, backlog prioritization. Understanding of Responsible AI, data privacy, and governance considerations in AI project delivery. Ability to translate AI/ML technical concepts into business-friendly project plans, timelines, and risk assessments. Strong stakeholder management, negotiation, and executive communication skills. Proficiency with project management tools (e.g., JIRA, MS Project, Confluence, Smartsheet, Azure DevOps). Key Attributes Strategic thinker with strong analytical and problem-solving abilities. Excellent leadership, team-building, and conflict-resolution skills. Ability to thrive in a fast-paced, evolving AI technology landscape. Strong ownership mindset with a focus on delivery excellence. Other Requirements null Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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