Engineering Manager – Agentic & AI Systems

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.

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.

• 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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