Senior AI/ML Engineer
About The Position
The Senior AI/ML Engineer will serve in the AI Center of Excellence (CoE), supporting cross-functional teams and addressing strategic AI needs across business domains. The role designs, develops, and deploys traditional machine learning, generative AI, and agentic AI solutions that deliver scalable, high-impact outcomes and accelerate innovation. The engineer builds and operationalizes end-to-end AI/ML pipelines on cloud infrastructure, integrates cloud-native and third-party AI services, and ensures solutions are scalable, dependable, secure, and cost-effective. The role also evaluates emerging technologies and develops reusable components, frameworks, and best practices. In partnership with data scientists, architects, product managers, business stakeholders, and technical teams, the engineer aligns solutions with organizational goals and provides technical support and mentorship to help teams adopt AI.
Requirements
- Experience with GenAI, RAG, cloud, AI/ML, MLOps, LLMs, and SQL.
Nice To Haves
- Master’s or PhD in a related technical field.
- Hands-on experience with agentic AI frameworks.
Responsibilities
- Design, develop, and deploy production-grade traditional ML models, including regression, classification, clustering, and recommender systems.
- Build and operationalize generative AI solutions, such as Retrieval Augmented Generation, and emerging agentic AI solutions to address domain-specific needs, improve user experiences, and automate business workflows.
- Design, maintain, and optimize end-to-end AI/ML pipelines encompassing data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure such as AWS or equivalent.
- Integrate cloud-native and third-party AI SaaS solutions to accelerate delivery and reduce time to value.
- Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective in cloud environments.
- Create reusable components, frameworks, and best practices to accelerate AI development.
- Evaluate emerging AI technologies, including GenAI, agentic AI protocols such as MCP and Google's A2A, and third-party low-code platforms for feasibility, scalability, and alignment with cross-functional business needs.
- Solve business problems using novel techniques and innovative thinking.
- Partner with data scientists, architects, product managers, business stakeholders, and technical teams to align AI solutions with organizational goals.
- Provide technical support and mentorship to technical teams across the enterprise to enable successful AI/ML implementations.
- Enable other teams to adopt AI in their products.
- Leverage diverse skills and perspectives to support effective problem-solving and decision-making.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
