AI Implementation Specialist

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At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

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* Job Description:

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* Parsons is seeking a hands-on AI Implementation Specialist to help identify, prototype, and apply practical AI solutions to business and operational challenges across the enterprise. In this role, you will work directly with stakeholders to understand workflows, identify opportunities where enterprise AI capabilities can improve speed, quality, and decision-making, and help implement those solutions in real business contexts.

The ideal candidate combines strong familiarity with modern generative AI tools and applied AI concepts with the ability to translate business problems into useful, implementable solutions. This is not a pure research role and not a full-stack engineering role. It is focused on practical application, experimentation, workflow enablement, and measurable business impact.

** Candidates located within the DMV area are preferred.*
* What You'll Be Doing

+ Work directly with business and operational teams to understand workflows, pain points, and opportunities for AI-driven improvement

+ Identify where enterprise AI capabilities such as custom AI assistants, retrieval-based knowledge tools, workflow automation, and multimodal AI features can be applied effectively

+ Translate business needs into practical AI use cases, prototype concepts, and implementation approaches

+ Evaluate whether business problems are best addressed using generative AI, automation, analytics, traditional machine learning, or other technical methods

+ Configure, test, and benchmark AI-enabled workflows in real or representative business scenarios to assess usability, performance, and impact

+ Support implementation of AI solutions by helping set up prompts, knowledge sources, workflow steps, and evaluation approaches

+ Collaborate with software engineers, data scientists, analysts, and business stakeholders to support integration of AI capabilities into tools and processes

+ Conduct needs assessments, feasibility reviews, and business case analyses for AI adoption

+ Help users apply AI tools effectively by providing practical guidance, documentation, and user support

+ Create clear documentation, playbooks, and user guides for prototypes, workflows, and repeatable use cases

+ Promote responsible AI use by considering fairness, transparency, security, and regulatory compliance in solution design and rollout

What Required Skills You'll Bring

+ Bachelor's degree in STEM or another related field

+ At least 3+ years of hands-on experience building, applying, or implementing AI, machine learning, automation, analytics, or data-driven solutions through professional work, academic projects, or substantial independent work

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** Ability to obtain and maintain an active S*
* ** ecret or Top Secret clearance to support sensitive DoD/IC projects*
* + Solid understanding of generative AI applications, prompt design, retrieval-augmented generation, machine learning life cycles, and data analytics

+ Experience using modern AI platforms or tools to create AI assistants, knowledge-grounded workflows, task automation, or multimodal solutions

+ Ability to assess business problems and determine whether they are best addressed with generative AI, traditional machine learning, automation, analytics, or other technical approaches

+ Demonstrated ability to communicate technical AI concepts clearly to non-technical audiences and support adoption in practical settings

+ Experience testing, benchmarking, and evaluating AI outputs in real workflows or applied use cases

What Desired Skills You'll Bring

+ Strong interest in emerging AI capabilities and how they can be applied pragmatically to real business problems

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Experience with prompt engineering, output evaluation, and iterative improvement of generative AI workflows

+ Familiarity with enterprise AI platforms, secure AI environments, or regulated technology environments

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Experience with AI workflow automation, orchestration tools, APIs, or low-code automation platforms

+ Familiarity with multimodal AI capabilities such as image generation, image analysis, or document understanding

+ Ability to assess implementation feasibility, data readiness, and operational fit for AI use cases

+ Ability to interpret AI-driven insights and use data to support business and strategic decision-making

What Success Looks Like

+ Business teams are able to apply AI tools to real workflows with clear value and realistic expectations

+ High-value AI use cases are identified, tested, and translated into repeatable solutions

+ AI-enabled workflows are practical, usable, and aligned to operational needs

+ Stakeholders understand…