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Engineering Manager – Agentic & AI Systems
full-time•Hyderabad
About this role
Overview
As an Engineering Manager – Agentic & AI Systems at JAGGAER, you will lead a high-performing engineering team responsible for building, scaling, and operating production-grade, AI-native platforms for enterprise procurement. This is a hands-on leadership role where you will actively contribute to design and development while managing people, execution, and delivery.
You will be expected to drive innovation through proof-of-concepts (POCs), guide the team from experimentation to production, and confidently demo work-in-progress features to stakeholders. Success in this role requires strong technical depth, excellent people management skills, and the ability to balance strategic thinking with execution.
Principal Responsibilities
Team Leadership & People Management
- Lead, mentor, and manage a cross-functional engineering team (backend, AI/ML, and frontend engineers).
- Foster a high-performance culture by setting clear goals, conducting regular 1:1s, and supporting career development.
- Motivate the team to deliver high-quality outcomes while maintaining strong engineering standards.
- Conduct and lead daily standups, weekly, bi-weekly, and monthly meetings to track progress, share updates, and address risks.
Hands-On Technical Leadership
- Remain hands-on with architecture, design, and critical code paths, especially for AI and agentic systems.
- Lead and actively participate in POC efforts, evaluating new ideas, tools, frameworks, and AI capabilities.
- Drive POCs to successful production-ready solutions with clear success metrics.
- Review architecture and code to ensure high standards of quality, security, scalability, and reliability.
- Be prepared to demo work-in-progress features, technical solutions, and POCs to internal and external stakeholders.
Delivery & Execution
- Own end-to-end delivery of AI initiatives, ensuring timelines, scope, and quality expectations are met.
- Identify technical and delivery risks early, communicate them clearly, and drive mitigation plans.
- Ensure predictable and on-time delivery through strong planning, prioritization, and execution.
- Provide regular status updates, progress reports, and technical insights to leadership.
AI & Platform Engineering
- Lead the design and delivery of LLM-powered, agentic AI systems at enterprise scale.
- Identify, evaluate, and implement cutting-edge techniques in Generative AI, agentic systems, and LLM architectures.
- Establish best practices for LLM evaluation, observability, reliability, and performance in collaboration with QA and platform teams.
- Partner closely with DevOps to ensure scalable, reliable, and cost-efficient cloud infrastructure.
Cross-Functional Collaboration
- Collaborate closely with Product Management, Business, QA, Platform, and DevOps teams to define requirements and deliver impactful solutions.
- Act as a bridge between technical and non-technical stakeholders, ensuring alignment and transparency.
- Support roadmap planning by providing technical input, feasibility assessments, and delivery estimates.
Position Requirements
- 10+ years of hands-on software engineering experience.
- 3+ years in an engineering leadership or people management role.
- Proven experience delivering LLM-powered and agentic AI systems into production at enterprise scale.
- Experience leading POCs and transitioning experimental solutions into production systems.
Technical Skills:
- Strong expertise in Generative AI, agentic systems, and LLM workflows.
- Deep proficiency in Python for backend services, AI orchestration, and evaluation pipelines.
- Hands-on experience with agentic and LLM frameworks such as LangChain, LangGraph, , Open Agent Platform (OAP), and OpenAI Agentic SDK.
- Experience with LLM evaluation and quality frameworks such as RAGAS and DeepEval.
- Strong experience designing and scaling RAG and CAG architectures using vector databases like Pinecone.
- Extensive experience with Google Cloud Platform (GCP) including GKE, Cloud Run, Pub/Sub, Cloud Functions, IAM, and networking.
- Experience with Docker and Kubernetes.
- Experience with observability and monitoring tools (Cloud Monitoring, Cloud Logging, Prometheus, Grafana, ELK, SigNoz).
- Strong understanding of API and platform security using OAuth2, JWT, and JWE.
- Experience building AI-powered user interfaces using ReactJS.
- AWS experience is a plus.
Soft Skills & Competencies:
- Strong people leadership and coaching skills.
- Excellent communication and presentation skills, including the ability to demo technical solutions to diverse audiences.
- Strong analytical thinking and decision-making ability.
- Comfortable operating in ambiguity and fast-paced environments.
- Proven ability to balance hands-on technical work with people and delivery management.
- Excellent cross-team collaboration and stakeholder management skills.
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What you'll do
- The Engineering Manager will lead a cross-functional engineering team to build and operate AI-native platforms for enterprise procurement. They will also drive innovation through POCs and ensure high-quality delivery of AI initiatives.
About Jaggaer
JAGGAER is a global leader in enterprise procurement and supplier collaboration, and the catalyst for enhancing human decision-making to accelerate business outcomes. We help organizations to manage and automate complex processes while enabling their highly resilient, accountable, and integrated supplier base. Backed by 30 years of expertise, our proven AI-powered industry-specific solutions, services, and partnerships form JAGGAER One, serving direct and indirect, upstream and downstream, in settings demanding an intelligent and comprehensive source-to-pay solution. Our 1,200 global employees are obsessed with helping customers create value, transform their businesses, and accelerate their journey to Autonomous Commerce. For more information, visit www.jaggaer.com.
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Frequently Asked Questions
What does a Engineering Manager – Agentic & AI Systems do at Jaggaer?
As a Engineering Manager – Agentic & AI Systems at Jaggaer, you will: the Engineering Manager will lead a cross-functional engineering team to build and operate AI-native platforms for enterprise procurement. They will also drive innovation through POCs and ensure high-quality delivery of AI initiatives..
Is the Engineering Manager – Agentic & AI Systems position at Jaggaer remote?
The Engineering Manager – Agentic & AI Systems position at Jaggaer is based in Hyderabad, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the Engineering Manager – Agentic & AI Systems position at Jaggaer?
You can apply for the Engineering Manager – Agentic & AI Systems position at Jaggaerdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.