In This Role, You Will

• Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.

• Design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.

• Integrate AI capabilities with enterprise platforms and systems (e.g., ServiceNow, Salesforce, data platforms, internal services) using secure APIs and orchestration patterns.

• Rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.

• Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.

• Lead solution architecture and design activities, including:

• Prompt engineering and AI workflow design

• API integration and service orchestration

• Enterprise knowledge and data integration

• Security, privacy, risk, and governance considerations

• Own solutions across the full lifecycle—from concept and proof of value through production deployment and continuous improvement.

• Apply and promote best practices for responsible AI, including model risk management, data protection, and compliance with enterprise and regulatory requirements.

• Contribute to the development of reusable patterns, standards, and guidance to support scalable AI adoption across the enterprise.

Required Qualifications

• 7+ years of software engineering experience, including designing and delivering production-grade systems.

• 7 + experience with API design, integration, and distributed systems in an enterprise environment.

• 2+ Years of Hands-on experience building and integrating AI or ML-powered applications, including experience with large language models (LLMs).

• 2+ Years of experience in Python programming language.

Desired Qualifications

• Demonstrated ability to translate ambiguous business requirements into well-architected technical solutions.

• Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.

• Experience working with AI platforms and services such as OpenAI, Anthropic, or similar technologies.

• Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, or internal workflow systems.

• Familiarity with enterprise security, privacy, governance, and risk management practices, particularly in regulated industries.

• Experience delivering solutions in large, matrixed organizations with multiple stakeholders.

• A product-minded approach with a focus on user experience, business value, and operational impact.

Job Expectations

• Ability to work in a fast-paced environment with evolving priorities.

• Comfort operating in areas of ambiguity while maintaining strong engineering discipline.

• Commitment to risk management culture, including adherence to policies, controls, and governance requirements.

Compensation, Benefits and Duration

Minimum Compensation: USD 82,000

Maximum Compensation: USD 289,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.

This position is available for independent contractors

No applications will be considered if received more than 120 days after the date of this post