Data & AI Solution Architect

CGI•Houston, TX

8h•Hybrid

About The Position

Position Description CGI's Houston Consulting team is expanding a portfolio of data and AI-enabled transformation offerings. We are seeking a Data & AI Solution Architect who blends solution architecture with a product mindset, someone who can lead client workstreams, shape practical architectures, and help build market-facing assets that grow pipeline and credibility in Houston. This role is ideal for a high-agency consultant who enjoys client-facing delivery and practice building: thought leadership, events, offerings, and proposals. This position is located in our Houston, Texas office, however a hybrid working model is acceptable. Your future duties and responsibilities: Client Delivery (primary): . Lead workstreams on data/AI engagements spanning data governance, platform modernization, engineering/integration, analytics, and applied AI/GenAI. . Facilitate workshops (current state, future state, use case discovery, value mapping, roadmap creation). . Translate strategy into executable delivery plans: epics/features, delivery roadmaps, operating models, and adoption plans. . Develop solution architectures and “good enough to build” designs: reference architectures, integration approaches, security/privacy considerations in partnership with SMEs, and build-vs-buy recommendations. . Coach junior team members; ensure deliverable quality and client-ready storytelling. Practice Acceleration (growth) . Own or co-own thought leadership: POVs, client one-pagers, conference submissions, and executive briefs. . Represent CGI in Houston: support speaking engagements, panels, university events, and industry groups (often co-presenting with leadership). . Support business development: discovery notes, solution approach write-ups, proposal storylines, estimate inputs, and SOW drafting. Practice Operations (enablement) . Help standardize internal operating mechanisms: reusable SOW language, delivery playbooks, estimation models, engagement “starter kits,” and lightweight invoicing/SOW hygiene processes.

Requirements

Houston-based (or willing to relocate) and comfortable with client-facing work in a hybrid environment.
3–7 years of relevant experience in consulting, data/analytics, AI/ML, digital transformation, product, or solution architecture (or equivalent experience via advanced degree + applied projects).
Strong grounding across data platforms + analytics and the ability to lead workstreams: Data management concepts (quality, lineage, governance, stewardship) Modern data engineering patterns and integration approaches Analytics and KPI design
Applied understanding of AI / GenAI delivery: Framing use cases, value hypotheses, and evaluation approaches Understanding implementation considerations (risk, monitoring, change management, responsible use)
Excellent client communication, structured problem-solving, and executive-ready storytelling skills.

Nice To Haves

Master's degree; MBA or PhD preferred (especially if paired with practical delivery experience).
Cloud architecture exposure (AWS/Azure/GCP), MLOps familiarity, and/or platform experience (Databricks, Snowflake, Azure ML, etc.).
Product management or experience design background (service design, journey mapping, experimentation, or roadmap ownership).
Demonstrated external presence: published writing, conference talks, teaching, podcasts, community leadership, or active professional groups.

Responsibilities

Lead workstreams on data/AI engagements spanning data governance, platform modernization, engineering/integration, analytics, and applied AI/GenAI.
Facilitate workshops (current state, future state, use case discovery, value mapping, roadmap creation).
Translate strategy into executable delivery plans: epics/features, delivery roadmaps, operating models, and adoption plans.
Develop solution architectures and “good enough to build” designs: reference architectures, integration approaches, security/privacy considerations in partnership with SMEs, and build-vs-buy recommendations.
Coach junior team members; ensure deliverable quality and client-ready storytelling.
Own or co-own thought leadership: POVs, client one-pagers, conference submissions, and executive briefs.
Represent CGI in Houston: support speaking engagements, panels, university events, and industry groups (often co-presenting with leadership).
Support business development: discovery notes, solution approach write-ups, proposal storylines, estimate inputs, and SOW drafting.
Help standardize internal operating mechanisms: reusable SOW language, delivery playbooks, estimation models, engagement “starter kits,” and lightweight invoicing/SOW hygiene processes.