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Location
Remote (India)
Seniority
Staff · 10+ years exp

First seen by Alion on Nov 5, 2026.

Overview
Company
Impact
Profile match
Global technology partner since 1992, Kumaran Systems delivers AI, legacy modernization, and digital transformation for banking, insurance, and telecom.

Role Summary :

We are looking for an experienced Technical Lead / Technical Delivery Manager to lead the end-to-end delivery of complex technology projects. The ideal candidate combines strong hands-on technical expertise with proven delivery management skills and has experience building or integrating AI/ML and Generative AI solutions. You will guide engineering teams, engage with clients and stakeholders, and ensure projects are delivered on time, within budget, and to quality standards.

Key Responsibilities :

- Lead and mentor cross-functional engineering teams across the full software development lifecycle.

- Own project delivery, including planning, estimation, risk management, resource allocation, and milestone tracking.

- Define technical architecture and solution design, and review code, design, and quality standards.

- Drive adoption of AI/ML and Generative AI solutions (LLMs, RAG, AI agents, chatbots, predictive analytics) in client projects.

- Act as the primary technical point of contact for clients and senior stakeholders, including status reporting and escalation handling.

- Ensure adherence to Agile/Scrum delivery practices, SLAs, and KPIs.

- Collaborate with pre-sales and business teams on proposals, effort estimation, and solution demos.

- Promote DevOps, CI/CD, automation, and cloud best practices.

- Manage team performance, hiring, upskilling, and career development.

- Ensure data security, governance, and responsible AI practices.

Required Skills and Experience :

- 10+ years of IT experience, with at least 4+ years in a technical lead or delivery management role.

- Strong hands-on background in one or more of: Java, Python, .NET, Node.js, or React/Angular.

- Experience with cloud platforms (AWS, Azure, or GCP), microservices, APIs, and containerization (Docker, Kubernetes).

- Working experience with AI/ML and Generative AI: LLMs (OpenAI, Claude, Gemini, Llama), prompt engineering, RAG, vector databases (Pinecone, FAISS, Chroma), LangChain or similar frameworks.

- Familiarity with ML tools and platforms such as TensorFlow, PyTorch, Azure OpenAI, AWS Bedrock, or Vertex AI.

- Solid understanding of Agile, Scrum, and SDLC methodologies, and tools like Jira and Confluence.

- Proven track record of delivering projects on time and within budget.

- Excellent communication, stakeholder management, and leadership skills.

Skills

Generative AI, Artificial Intelligence, Machine Learning, Project Management, Delivery Management, IT Project Delivery, AI Project Management, LLM, RAG, Agile, Scrum

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