Head of Artificial Intelligence (AI)

Alliant Group•Houston, TX

About The Position

At alliant, we don’t just advise; we transform. As the Head of Artificial Intelligence , you will lead our AI function at a pivotal moment in our growth. This is a highly visible, client-facing leadership role that sits at the intersection of AI strategy, hands-on solution architecture, forward deployed engineering, and revenue-generating delivery . You will act as the organization’s AI subject matter expert and client-facing delivery leader , responsible for translating complex AI capabilities into tangible business outcomes. This role combines five critical areas: AI architecture, end-to-end delivery ownership, business development, forward deployed engineering model execution, and people leadership . The ideal candidate will be equally comfortable advising executive clients, designing and delivering enterprise AI solutions, embedding teams within client environments, and scaling a high-performing AI organization . You will be a key voice at the leadership table, driving AI innovation that directly contributes to revenue and client success. As a premier consulting and technology firm, alliant partners with clients to help them transform and thrive. This role reports to the Chief Executive Officer and Chief Operating Officer.

Requirements

Bachelor’s degree required in Computer Science, Data Science, Engineering, or related field; advanced degree preferred
10+ years of experience in AI, machine learning, or advanced analytics, with 3–5+ years in a senior leadership role
Proven track record of leading end-to-end AI delivery in client-facing consulting or enterprise environments
Experience serving as a client-facing AI leader , engaging directly with executives and business stakeholders
Hands-on experience designing and deploying AI/ML solutions, LLMs, and data-driven systems at scale
Demonstrated success building or leading Forward Deployed Engineering or embedded delivery models
Strong business development experience, including pre-sales, solutioning, and closing AI engagements
Ability to translate technical concepts into business value for non-technical audiences and executive leadership
Experience building and leading high-performing technical teams
Strong commercial acumen, including experience linking AI initiatives to revenue and ROI
Excellent communication and presentation skills
High sense of urgency and ability to thrive in a fast-paced, high-growth environment

Nice To Haves

advanced degree preferred

Responsibilities

Serve as the firm’s AI subject matter expert , representing alliant in executive-level client conversations and strategic engagements
Design and own enterprise AI architectures, including machine learning systems, large language models, agentic frameworks, and data-driven solutions
Translate complex business challenges into scalable, production-ready AI solutions that deliver measurable value
Stay at the forefront of AI innovation, identifying emerging technologies and opportunities for competitive advantage
Lead architectural governance, ensuring best practices, scalability, and long-term maintainability of AI solutions
Own end-to-end AI delivery , from concept through deployment and value realization
Partner directly with clients to define requirements, manage expectations, and ensure successful delivery outcomes
Act as the client-facing delivery leader , owning all AI engagements and ensuring successful execution across accounts
Establish delivery frameworks, governance models, and best practices for consistent, high-quality implementation
Drive accountability, transparency, and performance across all AI programs
Lead executive-level reporting, communicating progress, insights, and value realization to stakeholders
Ensure alignment between delivery teams and client business goals, accelerating time-to-value
Build repeatable delivery playbooks, case studies, and reusable assets to scale the AI practice
Build and lead a Forward Deployed Engineering (FDE) capability , embedding AI engineers directly within client environments
Define the FDE model, including deployment frameworks, engagement playbooks, and performance metrics
Recruit, develop, and lead a team of forward deployed engineers with strong technical depth and client-facing skills
Personally oversee or lead deployments for strategic and high-complexity accounts
Establish feedback loops between FDE teams and internal AI development to continuously improve solutions
Drive measurable outcomes, including client satisfaction, revenue growth, and expansion within accounts
Create a knowledge management system to capture learnings and scale best practices across engagements
Partner with commercial teams to identify, shape, and close AI opportunities , with direct contribution to revenue growth
Lead technical pre-sales efforts including discovery workshops, AI solution design, demos, and proof-of-concepts
Contribute to proposals, RFPs, and bids, owning the technical strategy and ensuring commercial viability
Provide market intelligence and client insights to inform service offerings and innovation roadmap
Develop scalable AI propositions that can be applied across industries and client segments
Build and lead a high-performing AI organization including data scientists, machine learning engineers, and forward deployed engineers
Develop and communicate a clear AI vision and multi-year roadmap aligned to business strategy
Foster a culture of innovation, accountability, and continuous learning
Set performance expectations, coach team members, and drive professional development
Identify capability gaps and lead hiring, training, and scaling of the AI team
Champion the responsible and ethical use of AI across client engagements and internal initiatives