AI Solutions Architect

Overview:
We are seeking a highly experienced Generative AI Solutions Architect to lead the design and development of enterprise AI platforms, with a strong focus on agentic workflows and large language model applications. This role will be responsible for defining architecture standards, enabling scalable GenAI solutions, and supporting complex use cases across multiple business units.

Key Responsibilities:
Architect and design scalable AI platform solutions across both new and existing environments, with a focus on Generative AI and agentic workflows
Lead the development and deployment of AI agents using frameworks such as LangChain and LangGraph
Design and implement Model Context Protocol (MCP) based architectures to enable dynamic tool and data integration for agentic applications
Own end to end architecture for GenAI use cases, including document processing and summarization across multiple data modalities such as text, images, and tables
Ensure production ready solutions by establishing best practices around accuracy, bias mitigation, hallucination reduction, PII handling, and guardrails
Evaluate and define key architectural components such as model selection, retrieval strategies, orchestration layers, and governance frameworks
Partner with business teams to enable agentic applications across the organization, defining how agents are designed, accessed, and scaled across use cases
Support deployment and integration within enterprise ML platforms, ensuring solutions are robust, secure, and production-ready

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Qualifications:
8 to 10+ years of experience in software engineering, data engineering, or AI/ML
Proven experience architecting enterprise-level AI or ML platforms
Strong expertise in Generative AI and LLM-based applications, including summarization and multi-modal workflows
Hands-on experience building and deploying agentic AI workflows, including MCP-based architectures
Strong Python programming skills, with ability to complete live coding assessments
Experience with machine learning projects including time series analysis, sentiment analysis, and topic modeling
Experience with AWS and AWS-certified preferred
Strong experience with PySpark, Spark, FastAPI, Kubernetes, and cloud deployments

Preferred Qualifications:
Background as a hybrid data scientist and data engineer, with recent focus on LLM-driven solutions
Experience with vector databases such as Milvus to support embeddings and RAG architecture

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.