Senior Solutions Architect

RESPONSIBILITIES

Kforce has a client that is seeking a Senior Solutions Architect in Chicago, IL.

Responsibilities

• Own the end-to-end technical design of LLM and AI platform capabilities, including new solutions and enhancements to existing systems
• Translate product and business requirements into clear solution designs, technical plans, and development tasks
• Make and document architecture decisions, technical tradeoffs, integration patterns, and engineering standards
• Provide technical direction to engineers, remove technical blockers, and ensure alignment across application, data, cloud, security, and platform teams
• Design, develop, and maintain scalable Python services, APIs, and microservices using FastAPI or Flask
• Contribute directly to complex or foundational code and lead code reviews to ensure quality, security, maintainability, and performance
• Define reusable development patterns, testing practices, API standards, and documentation expectations for the team
• Lead the design and implementation of LLM applications, LangChain workflows, and Retrieval-Augmented Generation (RAG) pipelines
• Guide model, prompt, embedding, chunking, retrieval, re-ranking, and evaluation strategies based on use-case requirements
• Architect and optimize vector-store solutions using technologies such as Pinecone, Chroma, FAISS, or Milvus
• Establish evaluation and monitoring approaches for response quality, relevance, latency, reliability, safety, and cost
• Design and oversee deployment of secure, scalable, and resilient AI services on AWS using services such as Lambda, EC2, S3, EKS, and RDS
• Partner with DevOps and MLOps teams to implement CI/CD, infrastructure automation, observability, incident response, and production support practices
• Ensure solutions meet enterprise requirements for availability, fault tolerance, security, governance, scalability, and operational readiness

REQUIREMENTS

• Extensive software engineering experience, including experience serving as a Technical Lead, Lead Engineer, or Senior Engineer responsible for technical direction
• Demonstrated experience architecting and delivering production LLM or generative AI applications, including RAG-based solutions
• Experience with LLM platforms and frameworks such as OpenAI, Anthropic, Hugging Face Transformers, or LangChain
• Experience designing and deploying secure, scalable services in AWS cloud environments
• Experience leading design reviews, code reviews, technical planning, and resolution of complex engineering issues
• Strong understanding of LLM application architecture, prompt engineering, embeddings, vector databases, retrieval mechanisms, re-ranking, and evaluation
• Strong hands-on proficiency in Python and backend development using FastAPI, Flask, or comparable frameworks
• Ability to mentor engineers and influence technical decisions without relying on formal people-management authority
• Strong written and verbal communication skills, including the ability to explain architecture decisions and tradeoffs to technical and non-technical audiences
• Professional English proficiency and ability to collaborate effectively during agreed-upon U.S. business-hour overlap

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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