Alliant
Consulting and technology
HeadofArtificialIntelligence(AI)
“Head of Artificial Intelligence (AI) at Alliant. Skills: AI strategy, AI architecture, client delivery, business development. Lead AI function. Translate AI capabilities into business outcomes”
What You'll Achieve.
tangible business outcomes; measurable value; client success; revenue and client success; revenue; ROI; client satisfaction; revenue growth; expansion within accounts; measurable outcomes
Industry & Context.
Translate complex business challenges into scalable, production-ready AI solutions
What They're Looking For.
Must Have
Bachelor's degree required in Computer Science, Data Science, Engineering, 10+ years of experience in AI, machine learning, or advanced analytics, 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, 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, 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 Have
related advanced degree preferred, Kubernetes a plus
What You'll Do.
Translate AI capabilities into business outcomes
Advise executive clients
Design enterprise AI solutions
Deliver enterprise AI solutions
Embed teams within client environments
Scale AI organization
Serve as AI subject matter expert
Represent firm in client conversations
Design AI architectures
Translate business challenges into AI solutions
Identify emerging AI technologies
Lead architectural governance
Ensure AI solution best practices
Own end-to-end AI delivery
Partner with clients to define requirements
Manage client expectations
Ensure successful client delivery
Act as client-facing delivery leader
Ensure successful AI execution
Establish delivery frameworks
Establish governance models
Establish best practices for implementation
Drive accountability across AI programs
Drive transparency across AI programs
Drive performance across AI programs
Lead executive-level reporting
Communicate AI progress to stakeholders
Communicate AI insights to stakeholders
Communicate AI value realization to stakeholders
Ensure alignment between delivery teams and client goals
Accelerate time-to-value for AI solutions
Build repeatable delivery playbooks
Build reusable AI assets
Embed AI engineers within client environments
Define deployment frameworks
Define engagement playbooks
Define performance metrics for FDE
Recruit forward deployed engineers
Develop forward deployed engineers
Lead forward deployed engineers
Oversee strategic account deployments
Lead high-complexity account deployments
Establish feedback loops between FDE and internal AI development
Continuously improve AI solutions
Drive client satisfaction
Drive expansion within accounts
Create knowledge management system
Capture learnings from AI engagements
Scale AI best practices
Partner with commercial teams
Identify AI opportunities
Shape AI opportunities
Close AI opportunities
Lead technical pre-sales efforts
Lead discovery workshops
Lead AI solution design
Lead AI proof-of-concepts
Contribute to proposals
Own technical strategy for bids
Ensure commercial viability of bids
Provide market intelligence
Provide client insights
Inform AI service offerings
Inform AI innovation roadmap
Develop scalable AI propositions
Build high-performing AI organization
Lead high-performing AI organization
Communicate AI vision
Develop multi-year AI roadmap
Align AI roadmap to business strategy
Foster culture of innovation
Foster culture of accountability
Foster culture of continuous learning
Set performance expectations for AI team
Coach AI team members
Drive professional development for AI team
Identify AI capability gaps
Lead hiring for AI team
Lead training for AI team
Lead scaling of AI team
Champion responsible AI use
Champion ethical AI use
How You'll Work.
Team & Collaboration
Partner directly with clients; Partner with commercial teams; Work with product team
Communication Scope
client-facing delivery leader; executive-level client conversations; translate technical concepts into business value; non-technical audiences; executive leadership; communication and presentation skills
Process & Methodology
end-to-end delivery ownership, delivery frameworks, governance models, performance metrics
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