Lead AI Software Engineer

Position Summary

We are looking for an innovative and self-motivated Lead AI Software Engineer II to spearhead our new AI Engineering team. This role will lead the development of our AI infrastructure and capabilities built on AWS Bedrock, expanding our existing SecureGPT platform. The ideal candidate will drive the creation of agentic workflow capabilities, integrate external AI services via Model Context Protocol, and build AI workflow and orchestration systems to bring intelligence to all our products. This position requires a visionary leader with a can-do spirit who can transform complex AI concepts into practical, scalable solutions while collaborating closely with Data Science teams to leverage data-driven insights. The role includes ownership of test automation strategy and implementation for all AI systems.

Job Responsibility

• Lead and manage a team of AI software engineers focused on building AI infrastructure and capabilities
• Architect and implement agentic workflow capabilities to integrate external AI services via Model Context Protocol
• Design and develop AI workflow and orchestration systems to enhance our product offerings
• Expand and improve our existing SecureGPT platform built on AWS Bedrock, Lambda, S3, and Knowledgebases
• Own and drive the test automation strategy for all AI systems, ensuring reliability, accuracy, and performance
• Design and implement comprehensive test frameworks for evaluating AI model performance and behavior
• Create tooling and productivity improvements leveraging AI capabilities across the company
• Act as Scrum Master for AI engineering teams
• Collaborate with Data Science teams to integrate ML models and data-driven insights into AI solutions

Job Responsibilities Cont.

• Partner with product management, TPMs, Data, and Operations teams to align AI initiatives with business goals
• Research emerging AI technologies and methodologies to maintain competitive advantage
• Develop technical roadmaps for AI integration across company products
• Establish best practices for AI development, testing, and deployment
• Provide technical mentorship to team members on AI technologies and implementation strategies
• Bridge the gap between AI engineering and data science to create cohesive, intelligent systems

Education Required

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Master’s degree preferred.

Experience Required

• 8+ years of experience in software development with at least 3+ years focused on AI/ML technologies
• Demonstrated experience with large language models (LLMs) and generative AI platforms
• Proven experience building and deploying AI solutions on AWS, particularly with AWS Bedrock
• Strong background in serverless architectures (Lambda, S3) and cloud infrastructure
• Experience with AI orchestration, workflow management, and integration patterns
• Knowledge of Model Context Protocol and agentic AI systems
• Experience leading technical teams and driving innovation
• Strong understanding of software development methodologies and DevOps practices
• Proven track record as a self-starter and innovator who can drive projects from concept to completion
• Experience with prompt engineering, RAG (Retrieval Augmented Generation), and vector databases
• Expertise in test automation frameworks and methodologies for AI systems
• Experience designing and implementing evaluation metrics for AI model performance
• Familiarity with AI ethics, security, and governance frameworks
• Experience working with Data Science teams and implementing ML models in production environments
• Understanding of data science methodologies, statistical analysis, and machine learning algorithms

Knowledge Required

• Excellent written and verbal communications skills; and comfortable working in a dynamic, high volume, fast-paced environment.
• Ability to translate complex AI concepts into business value
• Strong problem-solving skills and innovative thinkin
• Adaptability and flexibility in a rapidly evolving AI landscape
• Ability to understand and ensure compliance with policies, procedures, and laws governing AI implementation
• Understanding of data science principles, methodologies, and tools
• Knowledge of data processing pipelines and feature engineering
• Familiarity with data visualization techniques and tools
• Experience bridging the gap between data science research and production engineering
• Deep knowledge of testing methodologies specific to AI systems, including hallucination detection and evaluation
• Understanding of CI/CD pipelines and automated testing integration

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Competencies

Travel

0-10%

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.