Sr. D&T Machine Learning Engineer (Agentic Ai)

Genl Mills India Priv LTD; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

General Mills Digital and Technology India is hiring a Senior ML Engineer (Agentic Engineer) to lead the next generation of agentic AI platforms. You will architect and orchestrate complex agent workflows, build robust connectors to enterprise systems, and design secure APIs to power data-driven decisions at scale.

Experience with Generative AI, multi-agent systems, cloud AI services (GCP Vertex AI) and strong CI/CD practices are essential.

Qualifications

• 5–8 years of progressive software engineering or platform development experience.
• 1–2 years hands-on experience with Generative AI and Agentic AI tech (Gen AI)
• Proficient in Python/Java/Go with API-first design and testing (REST/GraphQL/gRPC)
• Experience building connectors/integrations to enterprise apps (Salesforce, SAP, ServiceNow)
• Cloud platforms experience (GCP preferred; Vertex AI familiarity)
• Knowledge of agent orchestration frameworks and multi-agent workflows
• CI/CD and orchestration tools (Airflow, Kubeflow)

Responsibilities

• Lead enablement and integration of advanced agentic AI platforms with performance, reliability and security.
• Architect, design, and implement robust custom connectors to connect data sources and apps.
• Design, develop, and test secure APIs for internal/external systems supporting agentic workflows.
• Develop agent orchestration strategies and optimize inter-agent communications.
• Establish monitoring, observability, and reliability for agentic workflows across platforms.
• Contribute to governance, security, and compliance of agentic tooling and solutions.

Skills

Python

Java

Go

API design

Custom connectors

Cloud platforms

GCP

Vertex AI

Agentic AI

Multi-agent systems

CI/CD

Airflow

Kubeflow

Monitoring & observability

Prometheus/Grafana/ELK

MCP connections, RAG, Vectors

Education

Bachelor's or Master's in Computer Science, AI, Data Science or related field

Tools

Docker

Kubernetes

Terraform

Airflow

Kubeflow

Prometheus

Grafana

ELK Stack

Datadog

Splunk

Job description

COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

OVERVIEW

General Mills, Digital and Technology India, is seeking a Sr. ML Engineer (Agentic Engineer) to join the D&T AI and Automation (AIA) Organization. The Sr. ML Engineer (Agentic Engineer) will be a key technical leader within the Digital & Technology organization, focused on building the next generation of Agentic AI and ML platforms that power data-driven decision making at scale. This team builds enterprise-level scalable and sustainable AI solution pipelines and Agentic workflows to serve the AI and Agentic needs of business-impacting problem statements, maintains cloud and agentic platforms, and explores new complementary tooling for AI and Intelligent automation requirements.

KEY ACCOUNTABILITIES

• Advanced Agentic Platform Enablement: Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms, workflow design, agentic architecture ensuring they adhere to stringent performance, scalability, reliability, and security standards. This includes evaluating new agentic-first platforms, tools and frameworks.
• Custom Connector & Integration Development: Architect, design, develop, and implement robust custom connectors and integration solutions to seamlessly connect diverse data sources, enterprise applications, and external services with our agentic platforms.
• API Design, Testing & Integration: Drive the design, development, and rigorous testing of APIs, ensuring secure, reliable, and efficient integration with both internal and external systems to support agentic workflows.
• Agent Orchestration & Workflow Management: Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows, managing inter-agent communication, and enhancing decision-making processes within the platform to achieve desired business outcomes.
• Monitoring, Observability & Reliability Engineering: Strong understanding and working knowledge to collaborate with other engineering teams to establish, implement and support comprehensive monitoring and observability capabilities for Agentic workflows across multiple platforms.
• Knowledge of LLM Ops (Agent quality, telemetry, and FinOps) Working knowledge of end-to-end telemetry for agents (tracing, feedback loops, success metrics, cost and latency dashboards), for driving continuous evaluation of agent quality, safety, and ROI (e.g., task success, deflection, CSAT, cycle-time).
• ML Systems Engineering: Research, operationalize, and standardize ML tooling and processes, including installation, maintenance, documentation, and best practices.
• Generative & Agentic AI Architecture Knowhow: Comprehensive knowledge and working experience (preferred) of setting up an Agentic ecosystem with a hyperscaler like Google Cloud Platform (GCP) or Amazon Web Services(AWS).
• Platform Optimization & Lifecycle Management: Conduct ongoing optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning.
• Drive Agile Agentic POCs: Strong working knowledge and experience to develop & lead solution prototypes from ideation, scoping, implementation, and future road mapping with internal and vendor led teams. Drive agile POC execution with focus on hands-on capability validation on new emerging tools and platforms.
• Expert-Level Troubleshooting & Support: Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform functionality, integrations, and performance, performing root cause analysis and implementing preventative measures.
• Technical Documentation Excellence: Create and maintain comprehensive, high-quality technical documentation for platform architecture, custom connectors, API specifications, operational procedures to ensure knowledge transfer and system maintainability.
• Governance & Best Practices: Help develop, collaborate, and establish Governance best practices, enterprise standards for Agentic tooling & new agentic solutions.
• Security & Compliance: Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards.
• Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups.

MINIMUM QUALIFICATIONS

• Education: Bachelor's or Master's degree in a quantitative field (Computer Science, Software Engineering, Artificial Intelligence, Data Science, etc) or a closely related technical field.
• Experience: 5-8 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems. Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms, and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.). Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications.
• Technical Skills: Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go) with a strong emphasis on writing clean, efficient, and maintainable code. Deep understanding and extensive experience with API design principles, development, and rigorous testing (RESTful APIs, GraphQL, gRPC). Demonstrated expertise in building custom connectors and integrating diverse systems, including enterprise applications (e.g., Salesforce, SAP, ServiceNow) and various data sources. Good understanding/Working experience of agent orchestration frameworks, multi-agent systems, and techniques for managing complex agent interactions and decision flows. Extensive experience with major cloud platforms (Google Cloud Platform is preferred) and their AI/ML services (Vertex AI is preferred). Proficiency in establishing and utilizing monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog, Splunk) to ensure platform health and performance. Working knowledge of MCP connections, RAG, Vectors, Embeddings and Indexing, Knowledge graph and Oauth Flows. Strong understanding of CI/CD. Strong understanding of orchestration frameworks such as Airflow, Kubeflow etc.
• Soft Skills: Exceptional problem-solving and analytical capabilities, with a keen eye for detail and a proactive approach to identifying and resolving complex technical challenges. Superior communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders. Ability to thrive in a fast-paced, dynamic environment, working both independently and as a key contributor within cross-functional teams. Passion for learning new technologies and solving challenging problems. Ability to mentor others and lead the team in technology and best practices.

PREFERRED QUALIFICATIONS

• Understanding of the Consumer-Packaged Goods (CPG) industry.
• Familiarity with AI/ML lifecycle stages and MLOps concepts.
• Background in building, maintaining, and supporting traditional ML pipelines in a GCP environment.
• Strong understanding and practical experience with MLOps principles and practices, including CI/CD for AI/ML workflows, model versioning, and deployment strategies.
• Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms.
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) is a plus.
• Ability to collaborate cross functional teams and provide tech mentorship to other stakeholders.
• Strong leadership potential with the ability to mentor junior engineers and drive best practices.

Applicants must meet minimum age qualifications in the country in which the job is located.

Our careers Our company

New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good.