AI Solutions Engineer

Location: Hybrid in Atlanta, GA or Austin, TX Employment Type: W2 - role not classified for 1099/Corp to Corp at this time Employment Format: Contract to Perm About the Role This is a high-visibility, high-impact opportunity to join a small, elite team driving Agentic AI innovation within one of the largest data ecosystems in the world. As part of this team, you will report directly to engineering leadership on a dedicated initiative focused on accelerating enterprise use cases through Agentic AI — including legacy code modernization, data pipeline optimization, and workflow automation. The team has already proven out early success and is now expanding to deliver additional pilots. This is intentionally a lean, two-person engineering team designed to move fast and stay nimble. You'll have direct ownership over meaningful work and the autonomy to drive real outcomes. What We're Looking For (requirements) BS or MS in Computer Science, Engineering, Data Science, or related field from a strong academic program Python as primary language — proficiency with AI/ML libraries (PyTorch, HuggingFace Transformers, Scikit-learn, Pandas, NumPy) Hands-on experience with LLMs (e.g., GPT, Gemini, Flan-T5, LLaMA, etc.) Strong SQL skills and experience working with large-scale data (optimization, schema design, pipeline development) Familiarity with cloud platforms (GCP preferred but not a deal-breaker; AWS/Azure acceptable) What We're Really Looking For (Intangibles & Existing Knowledge) Exceptional raw intellect & learning velocity — demonstrated ability to quickly absorb new domains, synthesize information, and operate with limited guidance Elite problem-solving ability — breaks down ambiguous problems, forms hypotheses, and iterates toward solutions with rigor and creativity High curiosity & ownership mindset — proactively explores "why" and "what's next," not just "what's assigned" Evidence of innovation — history of building, experimenting, or improving systems (side projects, startups, open-source contributions, academic research) Bias toward action — moves quickly from idea to execution; comfortable operating in ambiguity and imperfect conditions Strong communication skills — can articulate complex ideas clearly to both technical and non-technical stakeholders Why This Opportunity High-impact ownership — This role sits close to critical data products and infrastructure that directly influence business decisions and operational outcomes across one of the largest data ecosystems in the world Modern engineering culture — The team is leaning into automation, AI-assisted development, and emerging agentic workflows to improve engineering speed and quality Ownership with autonomy — This isn't a ticket-taking role. Engineers drive design decisions, influence roadmaps, and partner directly with stakeholders Cross-functional visibility — Collaborate closely with product, analytics, and business teams for broad organizational exposure Growth runway — Scope is broad enough to deepen technically while growing into architecture, technical leadership, or platform ownership Conversion potential — Strong path to full-time hire Compensation $50 /hr to $70 /hr. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. #J-18808-Ljbffr