AI Developer

We are mission-driven to advance wellbeing across the Quality of Life ecosystem through impactful leadership. Come join us!

THE ROLE

This role will help transform business processes through the practical application of AI technologies. The AI Solutions Developer role bridges modern generative and agentic AI capabilities with real-world business challenges, driving rapid, usable improvements and measurable outcomes across all facets of our business operations.

This is an early‑career, builder‑focused role (0–3 years of experience) for a software/AI developer who is curious, learns quickly, and enjoys rapid experimentation and iteration. The AI Solutions Developer will work closely with the IT team, consultants, operations leaders, support teams, and enterprise leaders to translate needs into working AI‑powered agents, automations, and workflows with an emphasis on using existing enterprise toolsets and platforms.

This position offers a base salary of $96,000 to $120,000, plus a target bonus of 10% of base salary. Salary within our ranges is determined by your education, experience, knowledge, skills, and abilities, as required by the role, as well as internal equity and alignment with market data. WittKieffer offers a full benefits package including medical, dental, vision, 401(k), life and disability insurances, and generous paid time off.

This position can be100% remote, with a requirement for in-person meetings/team building 1-2 times per year in our Oak Brook, Illinois office. Hybrid work environment also available in Oak Brook, Illinois.

Please note: To ensure a fair and efficient hiring process, all candidates must apply through Workday. Direct emails to team members regarding applications will not be monitored or responded to.

RESPONSIBILITIES

• Build and maintain hands-on expertise in AI capabilities by prototyping agents, automations, and AI‑first workflows using modern frameworks, models, and developer tools.

• Design, build, test, and refine AI solutions in code (prompts, agents, RAG workflows, models and MCP integrations) and package them into reusable components and services.

• Rapidly iterate from idea to working prototype to deployable solution, running experiment cycles end-to-end: define hypotheses, implement prototypes, create evaluation datasets, measure quality/cost/latency, and iterate using repeatable testing and dashboards.

• Perform technical and process discovery (data access, API/system constraints, security/privacy, and operational workflows) and recommend practical designs that are feasible to implement and support.

• Assist in with production readiness, including CI/CD pipelines, secure code approach and practices, compliance and risk review, monitoring, and runbooks.

• Create clear documentation (architecture, setup, prompt/agent specs, evaluation approach) and enablement materials to support adoption, maintenance, and handoff.

CANDIDATE PROFILE

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.

• Foundational software engineering skills and API integration experience.

• Familiarity with and initial training with AI agents, prompts, RAG, and workflow orchestration.

• Working knowledge of data access and integration (SQL, APIs, Graph, MCP, data pipelines) and responsible data handling (privacy, security, and governance).

• Working knowledge of agents, registration/registries, and orchestration platforms.

• Familiarity with MLOps/LLMOps practices (model/prompt versioning, experiment tracking, offline/online evaluation, monitoring for drift/quality) is a plus.

• Ability to use existing tools to their fullest potential, while recommending and advocating for proper tooling for future growth and potential.

• Exposure to enterprise AI approaches and platforms a plus: Microsoft Azure, Foundry, Agent Framework, Fabric, CoPilot Studio, and GitHub Actions, utilizing Open standards and Interoperability (MCP, A2A, etc.).

• Exposure to modern development practices (version control, code reviews, unit/integration testing, packaging, and documentation).

• Exposure to building and integrating generative and agentic AI solutions (LLM APIs/SDKs, prompt/agent frameworks, and retrieval-augmented generation with vector search).

• Ability to take experiments to delivery: deploy services/apps, build CI/CD pipelines, and implement observability (logging/metrics/tracing) plus cost/latency controls.

Critical Competencies:

• High levels of curiosity and learning mindset; ability to leverage knowledge and curiosity to define objectives, research approaches, and develop recommendations to solve for desired outcomes.

• Strong collaboration skills, with the ability to translate business needs into technical designs and incremental deliverables.

• Able to work independently while demonstrating high degrees of accountability, proactive communication, and resiliency.

Witt/Kieffer Inc. ("WittKieffer") provides equal employment opportunities to all employees and applicants. WittKieffer will recruit, employ, train, promote and compensate our employees without regard to race, religion, creed, color, national origin, citizenship, gender, pregnancy, military status, age, marital status, sexual orientation, sexual identity, disability or any other personal characteristic protected by applicable federal, state or local law. WittKieffer will endeavor to make reasonable accommodation, as required by law, for qualified individuals with known disabilities or religious practices unless doing so would result in an undue hardship on the operation of our business.