Resultant
Tech / AI / Software
Director,SolutionArchitecture-Cloud,DataandAI
Neural analysis suggests this role is
optimal for director candidates.
“Director, Solution Architecture - Cloud, Data and AI at Resultant. Skills: Solution Architecture, Cloud, Data, AI, AI/ML, GenAI, LLM, Agentic systems, Modern data platforms. Lead end-to-end solution architecture on strategic engagements across public sector and commercial clients. Architect AI and agentic solutions — including LLM-powered applications, RAG systems, agent workflows, Document AI, and Contact Center AI — grounded in real business outcomes, not hype”
What You'll Achieve.
Outcomes driven by data analytics, technology solutions, digital transformation, and beyond; Solve their most complex challenges; Their desired outcomes are always top of mind; Build unique solutions that blaze past expectations; Architect AI- and data-driven solutions for our most strategic engagements; Contribute to the reusable IP that powers our offerings; Partner with sales leaders to shape and win new work; Lead architecture and technical strategy for client engagements; Ensure those solutions are delivered using AI-assisted engineering practices that compress timelines without compromising quality; Every engagement should leave Resultant with reusable IP; Help define what “good” looks like, raise the bar on repeatability; Translate client business outcomes into credible technical approaches, sized estimates, and differentiated narratives; Drive joint pursuits with cloud and platform partners; Ground AI and agentic solutions in real business outcomes, not hype; Serve as the foundation for analytics and AI; Deliver transformative outcomes
Industry & Context.
Radically different approach to solving problems; Solve problems with them; Solve their most complex challenges; Translate client business outcomes into credible technical approaches
What They're Looking For.
Must Have
10+ years of progressive experience in solution architecture, technical consulting, or enterprise technology leadership, including time in a client-facing consulting environment, Demonstrated experience architecting and delivering AI/ML or GenAI solutions in production — not just pilots, Deep expertise in at least one major cloud (Google Cloud, AWS, or Azure) and fluency across modern data platforms (Databricks, Snowflake, BigQuery), Hands-on familiarity with the current LLM and agentic landscape: model selection, RAG patterns, evaluation, agent frameworks, and enterprise governance, Track record of contributing to reusable IP — accelerators, frameworks, methodologies, or productized offerings, Pre-sales experience: RFP response, executive scoping, estimating, and partner co-sell motions, Bachelor’s degree or equivalent advanced degree or relevant certifications
Nice to Have
Kubernetes a plus
What You'll Do.
Lead end-to-end solution architecture on strategic engagements across public sector and commercial clients
Architect AI and agentic solutions — including LLM-powered applications
and Contact Center AI — grounded in real business outcomes
Design modern data platforms (lakehouse
governance) that serve as the foundation for analytics and AI
Shape AI-assisted delivery practices on engagements
including responsible-use guardrails when working in regulated environments
Author and review reference architectures
and methodology artifacts
Lead technical discovery
and estimation for new serve as the technical voice on executive proposals
Mentor senior architects and engineering contribute to architect career pathing and craft standards
Maintain compliance posture for regulated workloads
and SOC 2 environments where applicable
Represent Resultant in partner ecosystems and at industry events
How You'll Work.
Team & Collaboration
Partner with sales leaders to shape and win new work; Partner with engineering leaders to operationalize accelerators; Partner with sales, account, and offering leaders on RFPs, executive briefings, scoping workshops, and proposal architecture; Build relationships with our cloud and platform partners; Mentor senior architects and engineering contribute to architect career pathing and craft standards
Communication Scope
Client boardroom presence; Technical design review presence; Proposal war room presence; Communication and executive presence; Able to move fluidly between CIO conversations and engineering whiteboards
Full Job Description
Resultant is a modern consulting firm with a radically different approach to solving problems. We don’t solve problems for our clients. We solve problems with them. Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations. Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia. We’re Resultant. Clients partner with us to see a difference. People join us to make one. The Role This is a senior leadership role for an architect who is equally comfortable in a client boardroom, in a technical design review, and in a proposal war room. You’ll architect AI- and data-driven solutions for our most strategic engagements, contribute to the reusable IP that powers our offerings, and partner with sales leaders to shape and win new work. You will operate across three connected pillars: 1. Solution Architecture for AI-Enabled Delivery Lead architecture and technical strategy for client engagements spanning data platforms, application modernization, AI/ML, and agentic systems. Design solutions that integrate cloud infrastructure, modern data stacks, and AI capabilities — and ensure those solutions are delivered using AI-assisted engineering practices that compress timelines without compromising quality. 2. Accelerator and Offering Development
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