Why Ryan?
Hybrid Work Options
Award-Winning Culture
Generous Personal Time Off (PTO) Benefits
14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
Benefits Eligibility Effective Day One
401K with Employer Match
Tuition Reimbursement After One Year of Service
Fertility Assistance Program
Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service
The AI Engineer is a forward deployed hybrid technical and client-facing role responsible for designing, building, and deploying production-grade AI solutions directly within buisnesscustomer environments. This role bridges the gap between advanced AI capabilities and real-world business applications by embedding with clients and business professionals,, understanding their needs, and delivering end-to-end AI systems that drive measurable impact.
This individual operates across the full AI lifecycle—from discovery and solution design through deployment and optimization—while collaborating cross-functionally with business stakeholders. The role requires a strong engineering mindset, customer orientation, and the ability to translate complex problems into scalable AI solutions
Duties and Responsibilities, as they align to Ryan’s Key Results
People:
- Deliver cutting edge AI solutions in coordination with end users/business professionals
- Acts as a technical advisor to clients, building strong relationships with both technical and non-technical stakeholders.
- Shares insights and best practices from client engagements to improve internal tools, playbooks, and direction.
Client:
- Partners directly with business professionals and customers to understand needs and challenges, and to define AI strategy and use cases.
- Leads end-to-end deployment of AI solutions, including discovery, scoping, system design, development, and production rollout.
- Builds and deploys scalable AI applications (e.g., LLM workflows, agent-based systems) integrated with client infrastructure.
- Embeds within client and business environments to ensure successful adoption, performance, and measurable business outcomes.
Value:
- Delivers production-ready AI systems that solve real-world problems and generate tangible ROI.
- Drives continuous improvement by iterating on deployed solutions and optimizing performance and user adoption.
- Contributes field learnings to influence technology development and organizational strategy.
- Balances speed, scope, and quality to ensure timely and effective delivery of high-impact projects.
- Heavily utilizes AI assistance in coding and engineering workflows to deliver scalable, performant AI solutions
Education and Experience:
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
- Prior relevant experience in software engineering, machine learning, or solutions engineering roles.
- Experience deploying AI/ML or generative AI systems into production environments.
- Experience orchestrating durable, long-horizon agentic solutions using frontier language models.
- Proven experience working in client-facing or consulting-style environments preferred.
Computer Skills:
Proficiency in programming languages such as Python, JavaScript, or similar.
Experience with AI/ML frameworks (e.g., LLMs, LangChain, vector databases)
Strong understanding of system architecture, APIs, and cloud platforms (AWS, Azure, GCP).
Ability to design and deploy scalable, production-grade systems integrating AI into enterprise workflows. Proven experience using agentic coding tools (Claude Code, Codex) in professional engineering workflows.
Certificates and Licenses:
Valid driver’s license required.
Supervisory Responsibilities:
May directly supervise employees in the Business Solutions practice and carry out supervisory responsibilities in accordance with the Firm's policies and applicable laws.