Solutions Architect Jobs in Indiana
Solutions Architect jobs in Indiana concentrate in enterprise IT, healthcare technology, manufacturing systems integration, and financial services, with demand steady at mid-senior to principal levels across the state. Indianapolis anchors the market, followed by Fort Wayne and South Bend, where employers like Eli Lilly, Salesforce, and Cummins maintain substantial technology operations and hire solutions architects on an ongoing basis. Cloud infrastructure, hybrid integration, and SAP implementation expertise are the specialties drawing the most consistent interest from Indiana hiring managers. See the openings below and apply to the ones that match your experience.
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Showing 5 of 15+ Solutions Architect jobs
Solutions Architect - AI
Location: Indianapolis, IN (Hybrid - 3 days onsite a week), Client-Facing role.
Position Summary
The Solutions Architect - AI owns the technical design of how enterprise business knowledge is captured, structured, and served to AI systems so they answer business questions accurately. The role designs the domain context model, the context repository, and the evaluation harness that measures AI accuracy before and after context is added. It also designs the agentic automation and playbook that let RADcube onboard new data domains faster than the first. The architect sets technical direction for a team that includes a techno-functional architect, a data and AI engineer, a validation engineer, and a business analyst, and presents progress to client sponsors every week.
Key Responsibilities
Context Architecture and Domain Modeling
- Define the Domain Context Model: the context elements and minimum standards that make a data product "context complete."
- Design the domain ontology (business concepts, relationships, hierarchies, synonyms) and map it to data products and the client's knowledge graph and semantic layer.
- Run a rapid baseline of existing metadata, definitions, and data classification (PII, GxP-regulated, internal, public), and close gaps that block business context.
- Set up ontology ownership, review, and change processes so context stays current as the business changes.
Business Context Repository and Integration
- Architect the Business Context Repository in a client-approved environment, starting simple and hardening it to client security and data standards.
- Integrate the repository with the client's context injection layer, metadata registry, catalogs, and graph, without rebuilding components the client already owns.
- Align access controls to dataset classification.
- Deliver source code, configuration, and runbooks to the client repository.
AI Evaluation and Accuracy
- Design the evaluation harness: ground-truth question and answer sets, an evaluation runner that tests AI answers with and without domain context, and grading by numeric match, query-result comparison, and rubric.
- Build the failure-mode taxonomy (hallucination, stale data, misread schema, wrong join or aggregation, missing business context, persona mismatch) and the scoring rubric.
- Use Claude or another approved LLM to generate and score answers, then iterate on context and re-test to measure improvement.
- Report before and after accuracy by dataset, question type, and failure mode, and rate each data product as AI-ready or not, with remediation.
Agentic Automation and Scale
- Design agentic workflows, orchestration patterns, and human-in-the-loop controls that draft, review, and refresh context at scale.
- Automate intake from existing sources (metadata registry, catalogs, workshop outputs, BI reports, usage logs) and feedback loops from the questions users ask.
- Build scheduled refresh and staleness flags so context does not drift.
- Author the domain onboarding playbook, effort model, and prioritized roadmap for onboarding additional domains across a large data estate.
Client Leadership and Knowledge Transfer
- Serve as the technical lead with client program leads, data owners, and sponsors; confirm scope, success criteria, and priorities.
- Lead weekly demonstrations and incremental releases aligned to the client's release calendar.
- Guide business analysts in turning ambiguous business asks into structured, testable questions.
- Run knowledge transfer sessions and produce handover documentation.
Qualifications
- Bachelor's degree in computer science, Data Science, Information Systems, or a related field, or equivalent experience.
- 8+ years in data architecture or solutions architecture, including 3+ years designing AI or LLM solutions for production use.
- Hands-on experience with retrieval-augmented generation, context or prompt engineering, and LLM evaluation (ground-truth sets, automated grading, rubric scoring).
- Experience designing ontologies, semantic layers, or knowledge graphs, and working with business glossaries and metadata catalogs.
- Strong SQL and data modeling skills; able to verify join paths, grain, and aggregation logic.
- Proficiency in Python for evaluation of runners, pipelines, and automation.
- Experience with agentic frameworks and orchestration, with human-in-the-loop review design.
- Working knowledge of data classification and governance for PII and regulated data.
- Clear communicator who can run weekly demos for senior sponsors and translate business questions into testable requirements.
- Preferred: Life sciences or pharmaceutical data experience, including GxP-regulated data. Experience with Claude or other enterprise LLM platforms. Graph database experience (for example Neo4j or RDF/OWL). Cloud certification (AWS, Azure, or GCP). Active client system credentials for immediate mobilization.
Pay: $120,000.00 - $150,000.00 per year
Work Location: In person
Solutions Architect - AI
Location: Indianapolis, IN (Hybrid - 3 days onsite a week), Client-Facing role.
Position Summary
The Solutions Architect - AI owns the technical design of how enterprise business knowledge is captured, structured, and served to AI systems so they answer business questions accurately. The role designs the domain context model, the context repository, and the evaluation harness that measures AI accuracy before and after context is added. It also designs the agentic automation and playbook that let RADcube onboard new data domains faster than the first. The architect sets technical direction for a team that includes a techno-functional architect, a data and AI engineer, a validation engineer, and a business analyst, and presents progress to client sponsors every week.
Key Responsibilities
Context Architecture and Domain Modeling
- Define the Domain Context Model: the context elements and minimum standards that make a data product "context complete."
- Design the domain ontology (business concepts, relationships, hierarchies, synonyms) and map it to data products and the client's knowledge graph and semantic layer.
- Run a rapid baseline of existing metadata, definitions, and data classification (PII, GxP-regulated, internal, public), and close gaps that block business context.
- Set up ontology ownership, review, and change processes so context stays current as the business changes.
Business Context Repository and Integration
- Architect the Business Context Repository in a client-approved environment, starting simple and hardening it to client security and data standards.
- Integrate the repository with the client's context injection layer, metadata registry, catalogs, and graph, without rebuilding components the client already owns.
- Align access controls to dataset classification.
- Deliver source code, configuration, and runbooks to the client repository.
AI Evaluation and Accuracy
- Design the evaluation harness: ground-truth question and answer sets, an evaluation runner that tests AI answers with and without domain context, and grading by numeric match, query-result comparison, and rubric.
- Build the failure-mode taxonomy (hallucination, stale data, misread schema, wrong join or aggregation, missing business context, persona mismatch) and the scoring rubric.
- Use Claude or another approved LLM to generate and score answers, then iterate on context and re-test to measure improvement.
- Report before and after accuracy by dataset, question type, and failure mode, and rate each data product as AI-ready or not, with remediation.
Agentic Automation and Scale
- Design agentic workflows, orchestration patterns, and human-in-the-loop controls that draft, review, and refresh context at scale.
- Automate intake from existing sources (metadata registry, catalogs, workshop outputs, BI reports, usage logs) and feedback loops from the questions users ask.
- Build scheduled refresh and staleness flags so context does not drift.
- Author the domain onboarding playbook, effort model, and prioritized roadmap for onboarding additional domains across a large data estate.
Client Leadership and Knowledge Transfer
- Serve as the technical lead with client program leads, data owners, and sponsors; confirm scope, success criteria, and priorities.
- Lead weekly demonstrations and incremental releases aligned to the client's release calendar.
- Guide business analysts in turning ambiguous business asks into structured, testable questions.
- Run knowledge transfer sessions and produce handover documentation.
Qualifications
- Bachelor's degree in computer science, Data Science, Information Systems, or a related field, or equivalent experience.
- 8+ years in data architecture or solutions architecture, including 3+ years designing AI or LLM solutions for production use.
- Hands-on experience with retrieval-augmented generation, context or prompt engineering, and LLM evaluation (ground-truth sets, automated grading, rubric scoring).
- Experience designing ontologies, semantic layers, or knowledge graphs, and working with business glossaries and metadata catalogs.
- Strong SQL and data modeling skills; able to verify join paths, grain, and aggregation logic.
- Proficiency in Python for evaluation of runners, pipelines, and automation.
- Experience with agentic frameworks and orchestration, with human-in-the-loop review design.
- Working knowledge of data classification and governance for PII and regulated data.
- Clear communicator who can run weekly demos for senior sponsors and translate business questions into testable requirements.
- Preferred: Life sciences or pharmaceutical data experience, including GxP-regulated data. Experience with Claude or other enterprise LLM platforms. Graph database experience (for example Neo4j or RDF/OWL). Cloud certification (AWS, Azure, or GCP). Active client system credentials for immediate mobilization.
Pay: $120,000.00 - $150,000.00 per year
Work Location: In person
See All 15 Solutions Architect Jobs in Indiana
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Find Solutions Architect JobsSolutions Architect Jobs by City in Indiana
Where Indiana roles are concentrated, by current openings.
Solutions Architect Job Market in Indiana
A snapshot from current Indiana openings, updated as new roles post.
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What Indiana Employers Look For
The qualifications that appear most often in solutions architect jobs across Indiana.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Five or more years of experience designing and implementing enterprise-scale technology solutions
- Hands-on proficiency with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Relevant architecture certification such as AWS Solutions Architect, Azure Solutions Architect Expert, or TOGAF
- Demonstrated ability to translate complex business requirements into scalable technical architectures
- Experience working with stakeholders across business and IT teams to align solutions with organizational goals
Solutions Architect Jobs in Indiana: Frequently Asked Questions
How do you become a solutions architect in Indiana?
Indiana does not require a state-issued license to work as a solutions architect, so the path runs through education, experience, and vendor credentials. Most Indiana employers expect a bachelor's degree in computer science, information systems, or engineering, combined with several years of hands-on technical experience in software development, systems engineering, or cloud infrastructure. Certifications like AWS Certified Solutions Architect or Microsoft Certified Azure Solutions Architect Expert are widely recognized by Indiana employers and strengthen candidacy significantly.
Which companies hire solutions architects in Indiana?
Employers hiring solutions architects in Indiana right now include Protiviti, Syms Strategic Group, LLC (SSG), and PortX, based on current listings on Migrate Mate as of November 2026. Indiana's concentration of life sciences companies, insurance carriers, and advanced manufacturers means demand for solutions architects with domain knowledge in those industries is particularly strong.
Which Indiana cities have the most solutions architect jobs?
Indianapolis, Munster, and South Bend account for the largest share of solutions architect openings in Indiana. Indianapolis drives the bulk of demand as the state's corporate and technology hub, home to major healthcare, financial services, and logistics employers, while Fort Wayne and South Bend contribute openings through regional manufacturing operations and healthcare systems that maintain their own enterprise IT functions.
Are there remote solutions architect jobs in Indiana?
Yes, and more than most fields. Solutions architect work is heavily knowledge-based and collaborative rather than hands-on, making it well suited to remote and hybrid arrangements. About 86% of solutions architect openings tied to Indiana are remote or hybrid as of November 2026, reflecting how broadly distributed this work has become since enterprise IT teams normalized distributed collaboration. Pre-sales and customer-facing architecture roles tend to require the most in-office presence.
How can I get hired as a solutions architect in Indiana with little or no experience?
The most realistic entry path is moving laterally from a technical role such as cloud engineer, systems administrator, or software developer, where you already touch the infrastructure and integration work that solutions architects own. Indiana employers like Eli Lilly, Salesforce, and the major Indianapolis-area health systems including Indiana University Health and Ascension regularly bring in junior technical professionals who build architecture exposure over time. Earning an entry-level cloud certification, contributing to internal integration or migration projects, and building a portfolio of architecture diagrams from real or practice scenarios substantially improves candidacy.
Where can I find and apply to solutions architect jobs in Indiana?
You can find and apply to solutions architect jobs in Indiana on Migrate Mate, which lists current openings across the state. Search the listings to find roles that fit your experience level, specialization, and preferred location or work arrangement, then apply directly to the ones that match.
See All 15 Solutions Architect Jobs in Indiana
Find roles in Indiana that match your experience and apply in just a few clicks.
Find Solutions Architect Jobs