Deployed AI Engineer
- Fixity Technologies
2 Days Ago
NA
C2C
Concord-CA, San Francisco-CA
7-10 Years
Required Skills: Python, ServiceNow, Salesforce, data platforms, AI workflow, API design, OpenAI, Anthropic
Job Description
- 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.
