AI Implementation & Solutions Associate Director

Accountabilities:

• • Lead the full lifecycle of AI implementation opportunities, from initial qualification and discovery through solution shaping, contracting, delivery, and follow-on planning.
  • Partner with account teams and clients to identify new business opportunities, qualify AI use cases, and determine their suitability for rapid prototyping and delivery.
  • Lead discovery sessions to understand client objectives, workflows, users, data, systems, constraints, and expected business value.
  • Help clients define focused, high-value use cases that can be demonstrated and evaluated through prototypes or pilots.
  • Develop proposals, statements of work, estimates, presentations, project scopes, milestones, deliverables, assumptions, and acceptance criteria.
  • Serve as a primary client contact, building trusted relationships with executives, business stakeholders, and technology leaders throughout engagements.
  • Establish project governance, communication structures, delivery cadence, decision-making processes, and stakeholder expectations.
  • Manage engagement scope, schedules, budgets, resources, risks, dependencies, issues, and financial performance.
  • Coordinate multidisciplinary teams including AI engineers, solution architects, designers, data specialists, industry experts, risk professionals, and change specialists.
  • Guide the development of AI prototypes and pilots that address real-world business challenges and demonstrate measurable value.
  • Evaluate technical feasibility, data readiness, integration requirements, implementation complexity, and delivery risks.
  • Provide technical leadership across generative AI, machine learning, agentic systems, retrieval-augmented generation, APIs, data integration, and modern application architectures.
  • Work with cloud platforms such as Azure, AWS, and Google Cloud to support AI solution delivery.
  • Review solution architectures and technical deliverables while contributing hands-on to architecture, programming, prototyping, troubleshooting, and solution refinement when required.
  • Apply Responsible AI, security, privacy, access control, and governance considerations throughout solution development and implementation.
  • Coordinate staffing, prioritize engagements, monitor capacity, and establish consistent delivery practices, templates, quality standards, and project checkpoints.
  • Coach engineers and other team members on consulting practices, client communication, delivery expectations, and professional development.
  • Capture reusable assets, delivery patterns, lessons learned, and estimates to improve future engagements and accelerate solution delivery.
  • Monitor client satisfaction, engagement performance, outcomes, and opportunities to transition successful projects into production implementations or broader transformation initiatives.

  Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related discipline; equivalent professional experience may also be considered.
  • 9+ years of experience designing, delivering, or managing technology, data, automation, software, or AI solutions.
  • Demonstrated experience leading client engagements and multidisciplinary technology delivery teams.
  • Proven experience supporting business development, sales pursuits, proposals, estimates, and statements of work.
  • Strong project and engagement management experience across scope, schedule, budget, resources, risks, dependencies, and financials.
  • Hands-on experience with generative AI experimentation, prototyping, or AI-enabled application development.
  • Strong understanding of how AI applications are architected, developed, tested, deployed, integrated, and transitioned into operational environments.
  • Working proficiency in Python and/or JavaScript/TypeScript, with the ability to understand, review, and contribute to application code.
  • Experience with at least one major cloud platform, such as Microsoft Azure, AWS, or Google Cloud.
  • Familiarity with AI technologies including generative AI, machine learning, agentic systems, RAG, APIs, data pipelines, and modern application architectures.
  • Demonstrated ability to translate complex technical concepts into clear business value for executives, business stakeholders, and technical audiences.
  • Strong executive communication, facilitation, presentation, negotiation, and stakeholder management skills.
  • Ability to influence across multidisciplinary teams and lead effectively without relying solely on formal authority.
  • Experience in consulting or another client-service environment is strongly preferred.
  • Experience managing rapid prototypes, proofs of concept, pilots, or agile software delivery is preferred.
  • Relevant certifications in cloud, AI, agile methodologies, or project management are advantageous.
  • Strong commercial mindset, curiosity, collaborative leadership style, and commitment to delivering measurable client outcomes.

  Benefits:

  • Base salary: $162,000–$276,000 annually, with placement based on experience, skills, and geographic work location.
  • Annual bonus opportunity: Target opportunity of 16%, with eligible employees potentially receiving additional cash and/or discretionary stock compensation.
  • Estimated total cash compensation: Approximately $187,920–$320,160, combining base salary and target bonus.
  • Hybrid work model combining remote flexibility with purposeful in-person collaboration; requirements vary by client, project, team, and business needs.
  • Medical, dental, and vision coverage.
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
  • Life and accident insurance.
  • Short- and long-term disability coverage.
  • Adoption and fertility assistance.
  • Paid parental leave of up to 10 weeks.
  • 401(k) savings and investment plan with a 50% employer match on the first 6% of employee contributions.
  • Choice Time Off (CTO) for vacation, personal needs, and sick time, with new hires receiving up to 20 days per calendar year.
  • Up to 11 paid holidays annually.
  • Opportunities for professional development, continuous learning, and advancement in a collaborative consulting environment.
  • Exposure to high-impact AI transformation initiatives and opportunities to work directly with senior client stakeholders.
  • Travel opportunities based on client and project requirements, including local and out-of-state engagements.