Artificial Intelligence Specialist

We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.

Please refer the below job description and apply if interested.

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Designation:
Forward Deployed Principal AI Engineer

Location:
Concord, CA (Onsite)

Job Type: Fulltime or Contract

Key Responsibilities:

Photon is seeking a Forward-Deployed AI Engineer to support the design, development, and deployment of enterprise-scale Artificial Intelligence solutions. This role sits at the intersection of advanced AI platforms, enterprise technology, and business problem-solving. The engineer will work closely with business partners, product teams, and engineering organizations to translate complex and often ambiguous requirements into secure, scalable, and production-ready AI solutions that deliver measurable business outcomes.

This is a hands-on, customer-embedded engineering role that requires strong technical depth, a product-oriented mindset, and the ability to operate effectively in a regulated enterprise environment.

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., Service Now, 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 Service Now, 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 Wells Fargo’s risk management culture, including adherence to policies, controls, and governance requirements.