AI Solutions Engineer
$24,000–$24,000 year
HybridCarmel, Indiana, United States
Carmel, Indiana, United StatesHybridFull Time$24,000–$24,000 yearEnterprise
Full TimeEnterprise
Job Summary
Embed with business teams to learn processes and identify high-value AI agent use cases. Translate requirements into clear scope and success criteria, then design and build safe, reliable agents with defined human oversight checkpoints. Define evaluation metrics for accuracy and consistency, while building reusable patterns, templates, and best practices to standardize development. Pilot agents with users and lead acceptance testing before rollout. Partner with data scientists and stakeholders to prioritize use cases and apply responsible-AI practices.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
- 3+ years total experience delivering AI, software, or data solutions, including hands-on work building LLM-based applications or agents
- Experience designing and building AI agents, including tool use, external system and data integration, and multi-step workflow orchestration
- Strong proficiency with generative AI and large language models, including prompt engineering for reliable, high-quality outputs
- Experience defining and implementing evaluations for AI systems that measure quality, consistency, and regression over time
- Sound judgment on human-in-the-loop design - knowing when oversight is warranted and designing effective review checkpoints
- Requirements-discovery and facilitation skills - able to embed with a business team, learn an unfamiliar process quickly, and translate it into clear requirements
- Strong Python proficiency and hands-on experience with cloud platforms; Azure preferred, AWS or GCP acceptable
- Excellent communication skills, with a proven track record of working effectively with both technical teams and non-technical stakeholders
- Comfortable establishing new standards and patterns in ambiguous, greenfield territory and refining them with partner teams
- Ability to work independently and collaborate effectively, in person and remotely
- Analytical approach to problem-solving, sense of urgency, ability to manage multiple initiatives, and self-direction in keeping current with rapidly changing technology
- Qualified candidates must be legally authorized to be employed in the United States
- The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position
Desired Qualifications
- Experience with the Model Context Protocol (MCP) or similar frameworks, and with integrating systems of record or CRM platforms (e.g., Microsoft Dynamics), is a plus
- Experience in a customer-facing, consulting, solutions-engineering, or forward-deployed role is a plus
- Background in data science, machine learning, or applied statistics, particularly in evaluation or measurement methodology, is a plus
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