AI Product Engineering Director

Soni's client is seeking a Director, AI Product Engineering to lead a new software product engineering team. This team is responsible for designing, building, deploying, and supporting internally developed technology products that automate operations, streamline document and data workflows, and expand AI capabilities enterprise-wide.

This is a hands-on engineering leadership role where you will own team performance and product delivery while establishing a 3–5 year technology roadmap. You will help shape the organization's long-term investment in software engineering and AI capabilities using a cloud-first, AWS-native approach with modern, scalable, loosely coupled architectures. The ideal leader combines strong people leadership with deep technical expertise, moving seamlessly between strategy, architecture, delivery, and hands-on technical discussions.

Key Responsibilities

• Lead, coach, and develop a multidisciplinary team of software, platform, integration, data, and ML engineers while fostering a culture of ownership and innovation.
• Own products across the full lifecycle, including architecture, development, deployment, production support, and ongoing modernization.
• Establish and execute a 3–5 year technology roadmap aligned with business priorities and operational goals.
• Lead the development of automation solutions and AI-enabled products that reduce manual effort and improve how the organization works with data and content.
• Promote AI-assisted development across the software development lifecycle (SDLC), including code generation, automated testing, and agentic workflows.
• Champion AWS-native, cloud-first architectures utilizing serverless, event-driven, and loosely coupled patterns aligned with the AWS Well-Architected Framework.
• Partner with business and technology leaders to translate strategic priorities into technical strategies, delivery plans, and executive communications.
• Ensure products meet strict security, regulatory, and compliance requirements, including HIPAA, SOC 2, and insurance regulatory standards, while safeguarding PII and PHI.
• Establish engineering standards, design reviews, agile/Kanban practices, and reusable development patterns to drive operational excellence.

Qualifications & Requirements

• Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical field, or equivalent experience.
• Experience: $10 $ years of technology experience with meaningful hands-on background, including $5 $ years leading engineering or technical delivery teams.
• Leadership Track Record: Proven experience leading complex technology initiatives from strategy through production delivery and building high-performing technical talent.
• Architecture & Domain Expertise: Strong experience with software architecture, integration, platform engineering, and delivering AI-enabled technology solutions in regulated environments such as insurance, healthcare, or financial services.
• Preferred Certifications: AWS Certified Solutions Architect and/or AWS Certified Developer.

Technical Skills & Environment

• Full software product lifecycle management from architecture to production support.
• Deep AWS expertise including cloud-native, serverless, and event-driven architectures (e.g., S3, Lambda, API Gateway, Step Functions).
• AI/ML development patterns including Amazon Bedrock, large language models, RAG, agentic AI, and agent frameworks.
• API and integration architecture, including authentication and authorization protocols (OAuth 2.0, OpenID Connect, SAML).
• Data protection, encryption, and secure handling of sensitive data (PII/PHI).
• Agile delivery methodologies and tools such as Jira.

Compensation: $115,000 to $180,000 annually

Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.