Automation Engineering Manager

Company Description

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland

Unlocking digital performance. Delivering measurable results.

Job Description

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.

Key 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

Required 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.