Engineering Manager - Generative AI

NetConnectGlobal; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

NetConnectGlobal in Bengaluru seeks an Engineering Manager to lead Generative AI initiatives and oversee adoption of LLMs across enterprise functions. You will guide architecture, ensure scalable AI/ML solutions, and mentor teams in a fast-paced, regulated enterprise environment.

You will collaborate with product managers and senior stakeholders to translate requirements into scalable technical solutions, while establishing CI/CD and best practices for secure, high-performance AI systems.

Qualifications

• 8–12 years of software/engineering experience with AI/ML or Generative AI.
• Strong hands-on Python development experience.
• Experience with GenAI and agentic frameworks (LangChain, LangGraph, CrewAI).
• Experience with AWS ML services (Bedrock, SageMaker, Lambda, API Gateway).
• Strong prompt engineering and prompt management.

Responsibilities

• Lead and manage engineering teams delivering Generative AI solutions.
• Drive adoption of LLMs, agentic workflows, and AI automation across business processes.
• Provide technical guidance on architecture, development, testing, and deployment.
• Mentor engineers and support their technical and professional development.
• Collaborate with product managers and stakeholders to translate requirements into scalable solutions.
• Manage project timelines, resources, risks, and delivery.
• Establish engineering standards, code reviews, testing, and CI/CD workflows.
• Identify opportunities to improve processes and technology adoption.
• Ensure risk management, governance, security, and controls across AI solutions.

Job description

Job Description

We are looking for an Engineering Manager Generative AI to lead the adoption of Large Language Models (LLMs) and agentic AI solutions across enterprise business functions. The role will focus on process automation, efficiency, simplification, risk reduction, and development of scalable AI/ML solutions while providing technical leadership to engineering teams.

Key Responsibilities

• Lead and manage engineering teams delivering Generative AI and enterprise AI solutions.
• Drive adoption of LLMs, agentic workflows, and AI automation across business processes.
• Provide technical guidance on architecture, development, testing, and deployment.
• Mentor engineers and support their technical and professional development.
• Collaborate with product managers, business teams, designers, and senior stakeholders to translate requirements into scalable technical solutions.
• Manage project timelines, resources, risks, priorities, and delivery.
• Establish engineering standards, code review practices, testing processes, and CI/CD workflows.
• Identify opportunities to improve engineering processes, productivity, and technology adoption.
• Ensure appropriate risk management, governance, security, and controls across AI solutions.

Technical Requirements

• 8 - 12 years of overall software/engineering experience, with significant experience in AI/ML or Generative AI.
• Strong understanding of LLMs, Transformers, agentic frameworks, vector stores, and search algorithms.
• Strong hands-on Python development experience.
• Experience with GenAI and agentic frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Experience with AWS ML services, particularly Bedrock, SageMaker, Lambda, and API Gateway.
• Experience designing and developing high-performance, large-scale AI/ML systems.
• Strong knowledge of prompt engineering and prompt management.
• Experience with SQL, NoSQL, and vector databases, such as DynamoDB, PGVector, ChromaDB, or FAISS.
• Experience with at least one major cloud platform: AWS, GCP, or Azure.
• Knowledge of AI model risk management and guardrail development.
• Good understanding of REST APIs, JSON/XML, CI/CD, Jenkins, and cloud-native architectures.

Leadership & Stakeholder Skills

• Proven experience leading and mentoring technical engineering teams.
• Strong communication, stakeholder management, and influencing skills.
• Ability to work with senior business and technology stakeholders.
• Strong problem-solving and strategic thinking abilities.
• Ability to balance technical priorities with business objectives.
• Experience working in a fast-paced, enterprise technology environment.

Preferred Experience

• Experience in financial services, banking, or other highly regulated industries.
• Experience delivering enterprise-scale Generative AI or ML platforms.
• Knowledge of technology risk, governance, controls, and compliance.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

(ref:hirist.tech)