Automation Engineering Manager

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.

As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.

About the Role

We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models.

Responsibilities

• Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design.
• Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows.
• Translate architectural blueprints into executable components, prototypes, and production-ready services.
• Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph.
• Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable.
• Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed.
• Review code, support reusable component development, and enforce engineering best practices.
• Coach and mentor junior engineers and analysts within the AI team.

Qualifications

• 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles.
• Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA).
• Solid understanding of prompt engineering, APIs, data preprocessing, and model integration.
• Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.).
• Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
• Strong organizational, problem-solving, and team leadership skills.
• Bachelor’s or master’s degree in computer science, AI, or related technical field.

Preferred Skills

• Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
• Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks.
• Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains.
• Ability to interface with business stakeholders to gather requirements and validate outcomes.