Project Architect

Project Architect
Location: Denver, CO
Onsite Flexibility: Hybrid preferred (MN or CO), but open to remote for strong candidates
Contract Details
Position Type: Contract
Contract Duration: 12 months (contract-to-hire opportunity)
Pay Rate: $110.00–$120.00 / Hour (USD)
Travel Requirements: Minimal travel (~quarterly if remote)
Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Job Summary
The Senior AI Architect designs and delivers scalable, secure AI solutions aligned to enterprise strategy and standards. This role combines hands-on technical leadership with architectural guidance, partnering closely with data, platform, security, and application teams to integrate AI capabilities into core business systems. The Senior AI Architect contributes to solution design, supports implementation teams, and helps mature enterprise AI platforms, patterns, and governance. This role supports the client's AI 'Big Bets' initiatives, particularly within the customer domain, focusing on designing and productionalizing enterprise AI solutions and bridging customer-facing use cases with enterprise AI capabilities and platforms.
Key Responsibilities
Design & Architecture
Design scalable enterprise AI architectures aligned to business and technical needs
Lead solutioning and prototyping of AI/GenAI systems (including LLM-based solutions)
Translate requirements into architecture diagrams and solution designs
Drive AI platform development and enterprise integration across systems (SAP, Salesforce, etc.)
Ensure adherence to AI governance, risk, and security standards
Present architecture and solutions for review and enterprise alignment
Scope of Work / Deliverables
Support AI Big Bet initiatives focused on customer experience (e.g., agentic voice solutions)
Develop enterprise AI platform capabilities
Create architecture documentation and solution designs
Establish integration patterns between AI platforms and enterprise systems
Assist in evaluating external AI partners and proof-of-value solutions
Day-to-Day Activities
Participate in daily stand-ups and cross-functional meetings
Collaborate with customer architects, AI team, and enterprise stakeholders
Develop architecture diagrams and documentation
Conduct independent solution design and prototyping work
Engage with external partners and internal teams
Partner with data, platform, and application teams to integrate AI capabilities
Support development teams with guidance on implementation and engineering approaches
Team & Collaboration
Work in a highly collaborative, cross-functional environment with customer architects (2–3 stakeholders), the AI platform team, enterprise AI leadership, and data, integration, and solution architects
Ramp Expectations
Week 1: Shadow and understand current AI capabilities and priorities
First Month: Deliver architecture designs for at least 1–2 capabilities
Required Skills
Core AI & ML Skills
Experience delivering production AI/ML solutions
Designing and implementing production AI and GenAI solutions (including LLM-based systems)
Hands-on experience with AI model development, prototyping, and deployment
Hands-on experience with GenAI and LLM-based systems
Deep understanding of ML lifecycle (training, inference, evaluation)
Understanding of ML lifecycle concepts including training, inference, evaluation, and iteration
Ability to prototype, solution, and guide implementation
AI Architecture & Platform Design
Strong AI architecture and platform design expertise
Architecture design for scalable, reliable AI platforms and services
Applying AI architecture patterns, standards, and guardrails aligned to enterprise strategy
Experience integrating AI into enterprise systems
Experience integrating AI capabilities into existing enterprise systems and workflows
Engineering & Implementation Skills
Strong collaboration with engineering teams to design, build, and optimize AI solutions
Ability to move from conceptual design to working implementations (hands-on delivery focus)
Familiarity with cloud-native architectures and modern development practices
Data & Integration Foundations
Solid understanding of data pipelines, data platforms, and data quality considerations supporting AI workloads
Experience designing AI solutions that depend on enterprise data assets and analytics platforms
Governance, Risk & Enterprise Alignment
Strong understanding of AI governance, risk, and guardrails
Applying architectural standards, patterns, and principles consistently across solutions
Awareness of AI risks including model performance, bias, explainability, and operational robustness
Ability to align AI solutions to enterprise technology strategy and business outcomes
Communication & Collaboration
Strong communication and stakeholder management skills
Ability to translate complex AI concepts into business language
Translating complex AI concepts into clear architecture guidance for delivery teams and stakeholders
Partnering effectively across data, platform, security, and application teams
Contributing to roadmap discussions and technical decisions without owning full domain governance
Self-starter with strong cross-functional collaboration ability
Comfortable presenting solutions to leadership
Technical Environment
Cloud platforms: AWS, GCP (Azure exposure beneficial)
Data platforms: Databricks (preferred)
Enterprise systems: SAP, Salesforce, Avaya (nice to have)
AI frameworks: LLMs, GenAI systems
Preferred Skills
Experience working in large enterprise environments
AI certifications (Databricks, AWS, GCP, etc.)
Utility industry experience (nice to have)
Experience scaling AI solutions in enterprise settings
Enterprise systems: Avaya (nice to have)
Important Notes
This is a contract-to-hire opportunity. Candidates must be eligible to convert within the client's territory if applicable.
Interview process: 2 rounds (panel interviews) conducted via Microsoft Teams; fast-moving process with immediate review of candidates.
Red flags that will disqualify candidates: experience limited to proof-of-concept AI work only; lack of enterprise-scale system experience; limited recent exposure to AI technologies; no integration experience between AI and data platforms.
About the Client
This major U.S. electric and natural gas utility serves more than 3.7 million electric customers and 2.1 million natural gas customers across eight states — Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico, and Texas, positioning it as one of the nation's leading energy providers across the Midwest and Southwest United States. The organization employs approximately one in ten veterans — with 50 veterans in senior leadership — and has earned a perfect Corporate Equality Index score from the Human Rights Campaign for multiple consecutive years, reflecting a genuine commitment to inclusion. Teams here span electrical and civil engineers, grid operations specialists, environmental scientists, IT and cybersecurity professionals, finance and regulatory analysts, and — increasingly — AI and data platform engineers driving the company's active investment in clean energy transition, renewable generation, and grid modernization.
About GTT
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.
Job Number: 26-14223 Industry: Software Engineering

Work arrangement
Yes