Director, Solution Architecture - Cloud, Data and AI

Resultant•Chicago, IL

1d•Hybrid

About The Position

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 Contribute to and evolve Resultant’s portfolio of reusable accelerators, reference architectures, and methodology assets (anchored to our Unified Delivery Platform approach). Every engagement should leave Resultant with reusable IP. You’ll help define what “good” looks like, raise the bar on repeatability, and partner with engineering leaders to operationalize accelerators across our six core service offerings. 3. Pre-Sales and Go-to-Market Partnership Partner with sales, account, and offering leaders on RFPs, executive briefings, scoping workshops, and proposal architecture. Translate client business outcomes into credible technical approaches, sized estimates, and differentiated narratives. Build relationships with our cloud and platform partners (Google Cloud, AWS, Databricks, Snowflake, Anthropic) to drive joint pursuits.

Requirements

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
Strong communication and executive presence; able to move fluidly between CIO conversations and engineering whiteboards
Bachelor’s degree or equivalent experience

Nice To Haves

advanced degree or relevant certifications a plus

Responsibilities

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
Design modern data platforms (lakehouse, warehouse, streaming, 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, accelerator designs, and methodology artifacts
Lead technical discovery, scoping, and estimation for new opportunities; serve as the technical voice on executive proposals
Mentor senior architects and engineering leaders; contribute to architect career pathing and craft standards
Maintain compliance posture for regulated workloads, including HIPAA, CJIS, FedRAMP/StateRAMP, and SOC 2 environments where applicable
Represent Resultant in partner ecosystems and at industry events