Director, Software Engineering
Role details
Job location
Tech stack
Job description
- Own and drive the end to end GenAI architecture and strategy across Amazon Connect, Bedrock, Lex, and multi LLM platforms
- Define the long term GenAI roadmap for customer experience, agent experience, and automation initiatives
- Establish architecture standards, reusable frameworks, and best practices across all LOBs
- Lead the design and implementation of scalable, secure, and compliant GenAI platforms
- Partner with Product, CX, Business Ops, Security, Compliance, and Enterprise Architecture to align strategy and execution
- Provide technical leadership for all GenAI programs from concept through deployment
- Oversee delivery and ensure operational excellence, reliability, and quality of AI solutions
- Guide teams on model selection, prompt engineering, retrieval systems, and multi agent orchestration
- Conduct architecture reviews ensuring designs follow enterprise security and compliance standards
- Build and maintain strong relationships with AWS, OpenAI, and other GenAI/LLM partners
- Evaluate emerging GenAI technologies and drive innovation, pilots, and proofs of concept
- Identify and mitigate risks related to architecture, delivery, security, and scalability
- Define and enforce AI governance, auditability, and Responsible AI practices
- Enable engineering teams with documentation, frameworks, and architectural guidance
- Lead cost optimization, performance tuning, and continuous improvement of GenAI solutions
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- 10+ years of experience in software engineering or architecture
- 5+ years of hands-on experience with cloud-native architectures (AWS preferred)
- 3+ years of experience in GenAI, LLMs, NLP, or AI/ML solution architecture
- Deep expertise in AWS services: Amazon Connect, Bedrock, Lex, Lambda, S3, CloudWatch, API Gateway, DynamoDB, etc.
- Solid understanding of LLM frameworks, multi-agent systems, vector databases, knowledge retrieval, and model orchestration
- Hands-on experience with LLM ecosystems (OpenAI, Anthropic, AWS Bedrock models, etc.)
- Solid architectural skills in microservices, event-driven systems, and cloud security
- Experience designing secure, scalable, and high availability production systems
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.