The Role
The Agentic AI Outcomes Engineer will transform manual processes into autonomous AI workflows, develop end-to-end AI solutions, support clients, and optimize AI implementations.
Summary Generated by Built In
Expedient seeks a mid- to senior-level Agentic AI Engineer for our Phoenix office. You'll help enterprise clients transform manual processes into autonomous AI workflows that deliver measurable ROI through time savings. As a technical guide, you'll translate business objectives into practical AI solutions using our AI CTRL platform—a secure enterprise system combining company data with agentic AI to simplify adoption at scale.
What You'll Do:
What You'll Do:
- Consultative Solution Design: Partner with clients to identify high-impact processes and design AI-driven workflows using LLMs, APIs, and automation tools that deliver consistent efficiency gains
- AI Workflow Development: Build end-to-end AI solutions—from data ingestion and prompt engineering to application integration—ensuring robust, secure implementations with tangible ROI
- Client Support: Bridge technical complexity and business needs. Advise on AI/ML options, data requirements, and architecture. Conduct workshops to build user confidence in AI adoption
- Integration: Collaborate with data engineering and professional services teams on data pipelines, vector databases, and APIs while maintaining security and governance
- Optimization: Refine AI agents and prompts based on performance feedback, monitoring outcomes to improve accuracy and reliability
- Innovation: Experiment with emerging tools and frameworks. Develop proof-of-concept demos showcasing AI CTRL's capabilities for novel challenges
- Experience: 5+ years in software engineering, data engineering, or AI solution development; 2+ years implementing AI/ML solutions in business environments. Client-facing experience preferred.
- Skills: Proficiency in Python, Go, or similar languages; expertise with AI/ML frameworks and LLMs; mastery of prompt engineering; experience with databases (SQL/NoSQL), data pipelines, and APIs. Familiarity with vector databases, orchestration frameworks, and cloud platforms (AWS, Azure, GCP) preferred.
- Attributes: Exceptional communicator who explains technical concepts clearly. Empathetic, adaptable, accountable, and collaborative. Passionate about AI's transformative potential.
- Education: Bachelor's in Computer Science, Engineering, or related field (or equivalent experience). AI/ML certifications a plus.
Location: Phoenix, AZ office. On-site role, regional travel may be required.
Salary for this position will be based on your experience and your skills. Estimated salary range is $100,000 to $150,000 annually.
Skills Required
- 5+ years in software engineering, data engineering, or AI solution development
- 2+ years implementing AI/ML solutions in business environments
- Proficiency in Python, Go, or similar languages
- Expertise with AI/ML frameworks and LLMs
- Experience with databases (SQL/NoSQL), data pipelines, and APIs
- Bachelor's in Computer Science, Engineering, or related field
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The Company
What We Do
Expedient is a network of data centers offering cloud computing, a wide range of managed services, and network connectivity.
