Technical Lead (AI & Technical Delivery)

Sutherland; Chengalpattu; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Sutherland in India is seeking a Technical Lead who is a hands-on engineer first and a team leader second. You will design and build scalable AI-enabled software using Python on cloud and on‑premise, while guiding a capable team to deliver high-quality products.

The role includes about 70% hands-on technical delivery and 30% team management. You will mentor engineers, own system design, and collaborate with product, QA, DevOps, and data teams to move ideas to production.

Qualifications

• Hands-on engineer with leadership potential.
• Experience building AI-powered features and ML pipelines.
• Ability to design scalable cloud and on-premise architectures.
• Secure, reliable software delivery and collaboration with product teams.

Responsibilities

• Hands-on AI/ML feature delivery in Python.
• Architect scalable cloud and on‑prem solutions.
• Lead a team of engineers and plan sprints.
• Collaborate with product and data teams.

Tools

Python

AWS

Azure

GCP

Job description

About the Role

We are looking for a Technical Lead who is a hands-on engineer first and a team leader second. You will spend most of your time designing and building scalable, AI-enabled solutions and products in Python on the cloud and on-premise, while guiding a team of engineers to deliver high-quality software. We want someone with a product mindset who uses AI to solve real user problems and takes projects from idea to production.

Time split: ~70% hands-on technical work (AI and technical delivery), ~30% team management.

Key Responsibilities

AI and Technical Delivery (~70%)

• Write clean, maintainable, and well-tested Python code for core product features.
• Design and build AI-powered features, including LLM applications, RAG pipelines, agents, and ML model integration.
• Own system design and architecture decisions, ensuring scalability, reliability, and security.
• Design, deploy, and manage cloud-based solutions (AWS / Azure / GCP), including AI/ML services.
• Build products end to end, from requirements and design through deployment, monitoring, and iteration.
• Set up evaluation, monitoring, and guardrails for AI systems (accuracy, latency, cost, safety).
• Conduct code and design reviews and set engineering best practices.
• Troubleshoot complex production issues and drive root-cause analysis.
• Work closely with product managers and stakeholders to translate business needs into technical solutions.

Team Management (~30%)

• Lead, mentor, and coach a team of engineers.
• Plan sprints, assign tasks, and ensure timely delivery.
• Promote responsible and effective use of AI tools across the team.
• Foster a culture of ownership, accountability, and continuous learning.
• Conduct regular one-on-ones and support team members' career growth.
• Collaborate with cross-functional teams (Product, QA, DevOps, Design, Data).