AI/ML Delivery Manager

Cotiviti; Hyderabad; Hybrid; INR 2,400,000 - 3,800,000; Full time

Job summary

Cotiviti in Hyderabad seeks a Technical Delivery Manager to lead Digital Process Automation with an AI-first strategy. You will coordinate with Product Management, Policy Operations, and Content Operations to drive innovative automation that increases efficiency and revenue while reducing manual effort.

The role requires leveraging spec-driven AI development and influencing stakeholders to adopt this approach, aligning automation with business goals and ensuring scalable integration into the

Qualifications

• 12+ years of overall IT experience with at least 4 years delivering AI solutions.
• Proven experience in Business Process Automation/Digital Process Automation.
• Strong Python and AI tech stack skills (LLM architectures, prompt engineering, LangChain/LangGraph).
• Experience with vector databases and agent/tool-calling frameworks; LLMOps and cloud AI services.

Responsibilities

• Lead and manage a team creating automation solutions for manual workflows.
• Collaborate with Product Management and Operations to identify automation opportunities.
• Oversee design, development, and deployment of AI-first automation solutions.
• Provide technical direction on AI technologies and generative AI applications.

Skills

Python

LLM architecture

Prompt engineering

LangChain

RAG

Vector databases

Agents & tools

LLMOps

Cloud AI services

Tools

Pinecone

Qdrant

Chroma

pgvector

OpenSearch

Bedrock

Vertex AI

Azure OpenAI

Job description

Technical Delivery Manager AI

Business Process Automation / Digital Process Automation

Job description summary

We are looking for a Technical Delivery Manager to lead our Digital Process Automation (DPA) initiatives. This role requires close collaboration with the Product Management, Policy Operations, and Content Operations teams to drive innovative automation solutions that enhance operational efficiency, increase revenue, and reduce manual effort. The ideal candidate will also ensure seamless integration of AI solutions into the business unit's (BU) product suite of applications.

This role requires leveraging spec-driven development (an AI-native development approach) and influencing business stakeholders to align with this approach.

Key responsibilities

• Lead and manage a team focused on developing automation solutions for manual-intensive workflows.
• Collaborate with the Product Management and Business Operations teams to identify automation opportunities.
• Oversee the design, development, and deployment of automation solutions with an AI-first strategy.
• Provide technical direction by leveraging a strong understanding of how AI technologies and generative AI can help solve business challenges, and guide the team in implementing AI-driven automation.
• Ensure strong collaboration with application development teams to seamlessly integrate automation solutions into the BU's product suite of applications, ensuring scalability and minimal disruption.
• Drive stakeholder management, ensuring effective communication and alignment of automation goals.
• Apply critical thinking and problem-solving skills to address complex business challenges.
• Utilize negotiation skills to balance business priorities, technical feasibility, and resource constraints.
• Stay updated on the latest AI, ML, and automation trends to drive innovation and efficiency.

Key requirements

• 12+ years of overall IT experience, including at least 4 years delivering AI solutions.
• Proven experience in Business Process Automation/Digital Process Automation.
• Strong technical expertise in Python; LLM architecture (transformers, embeddings, context windows); prompt engineering; LangChain/LangGraph or equivalents (LlamaIndex, CrewAI); RAG and vector databases (Pinecone/Qdrant/Chroma/pgvector/OpenSearch); agent and tool-calling frameworks, including MCP; evaluation frameworks (Ragas); LLMOps and tracing (Langfuse/Arize); and cloud AI services (Bedrock/Vertex/Azure OpenAI).
• Strong understanding of how AI technologies and generative AI can help solve business challenges, with the ability to provide strategic direction to the team.
• Experience in stakeholder management, working with cross-functional teams, and aligning automation initiatives with business goals.
• Strong collaboration skills to ensure automation solutions are effectively integrated into the BU's product suite of applications.
• Strong problem-solving, negotiation, and critical thinking abilities.
• Ability to manage multiple priorities and drive results in a fast-paced environment.

Ideal candidate profile

This role is ideal for a strategic and hands‑on leader who can bridge the gap between business needs and AI‑driven automation, ensuring seamless integration into core applications and driving operational transformation.