AI Or ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking an experienced AI/ML Engineer with Salesforce Agentforce expertise to design, build, deploy, and optimize enterprise-grade AI solutions across Sales, Service, Marketing, and Operations platforms. The ideal candidate will possess solid Machine Learning, Generative AI, LLM, Agentic AI, and Salesforce ecosystem experience and will help drive next-generation AI-enabled business transformation.

The role will be responsible for building intelligent AI agents, Retrieval-Augmented Generation (RAG) solutions, predictive models, conversational AI applications, and AI-driven workflow automation leveraging Salesforce Agentforce, Data Cloud, Customer 360, Slack, and modern cloud AI platforms.

Primary Responsibilities

• AI & Agentforce Development
• Design and implement Salesforce Agentforce AI Agents
• Build autonomous and multi-agent workflows for enterprise business processes
• Develop AI-powered customer service, sales, marketing, and operational solutions
• Configure and optimize Agentforce reasoning and orchestration capabilities
• Integrate AI agents with Salesforce Customer 360 applications
• Machine Learning & Data Science
• Develop predictive and prescriptive ML models
• Build classification, forecasting, recommendation, anomaly detection, and NLP models
• Fine-tune and evaluate Large Language Models (LLMs)
• Measure model accuracy, bias, explainability, and performance
• Generative AI Engineering
• Develop enterprise GenAI applications using:
• OpenAI
• Azure OpenAI
• Anthropic Claude
• Gemini
• Salesforce Einstein AI
• Create:
• RAG architectures
• AI copilots
• Conversational assistants
• Knowledge search agents
• Document intelligence solutions
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

• Technical Skills
• Knowledge of Salesforce Ecosystem
• Salesforce Agentforce
• Salesforce Einstein AI
• Salesforce Data Cloud
• Customer 360
• Apex Development
• Lightning Web Components (LWC)
• Salesforce APIs (REST/SOAP)
• Salesforce Flow
• Knowledge of AI / Machine Learning
• Generative AI
• LLM Architecture
• Prompt Engineering
• Agentic AI
• Multi-Agent Systems
• RAG (Retrieval Augmented Generation)
• AI Guardrails
• LLM Fine-Tuning
• Embeddings
• Programming Skills
• Python
• SQL
• PySpark