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Ai Implementation Jobs (NOW HIRING)

Granicus

AI Implementation Quality Analyst

$80K - $105K/yr

This role combines hands-on human review with structured, rubric-based evaluation incorporating automation to ensure AI systems meet documented standards before customer implementations go live. As ...

Kubikware

We are currently looking for a Senior Manager, AI Implementation based in the Greater Boston area to join one of our US-based clients through a contract-to-hire engagement . About the role The Senior ...

Human Agency

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it ...

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How much do ai implementation jobs pay per year?

As of Jun 25, 2026, the average yearly pay for ai implementation in the United States is $103,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $103,518 per year, or $49.8 per hour.

Director, Agentic AI Implementation

Info-Tech Research Group

Remote

Full-time

Posted 26 days ago

Job description

Position Purpose
Info-Tech is expanding its Applied AI practice to help organizations move from AI ambition to real, working AI systems, starting with agentic AI design, rapid prototyping and extending into implementation and optimization.
This role combines hands-on delivery, applied research, and client advisory. You will lead Agentic AI Design & Prototyping workshops, working directly with member organizations to design end-to-end agentic workflows, build functional AI prototypes, and facilitate collaborative build sessions and hackathons. You will also develop new AI research and advise members as they scale and implement AI systems.
Over time, this role will expand into larger AI engagements, deeper implementation work, and ongoing advisory as our AI offerings mature. We're looking for someone who wants to grow with practice and help shape its future direction.
If you're energized by building AI systems, experimenting quickly, and collaborating closely with organizations and teammates to turn ideas into working solutions, this role was built for you.
Our promise to you
You will work for a rapidly growing company that understands the importance of supporting employees through flexibility, inclusiveness, learning and development, internal career mobility, measurement of the Employee Experience and actioning on employee feedback and building strong relationships.
What you will do, includes, but not limited to:
Deliver Agentic AI Workshops & Prototyping Engagements
  • Lead Info-Tech's Agentic AI Design & Prototyping workshops with member organizations
  • Guide participants through the full, end-to-end process:
    • Identifying high-value use cases
    • Designing agent roles, workflows, and orchestration patterns
    • Rapidly building and iterating functional AI agent prototypes
  • Facilitate hands-on build sessions and hackathons that move teams from concept to demo-ready solutions
  • Collaborate directly with member teams to co-create and refine AI artifacts during live engagements
  • Capture workshop outputs and translate them into clear, practical deliverables members can take forward

Build & Prototype AI Systems
  • Rapidly prototype AI agents, LLM workflows, and intelligent automations using modern AI stacks
  • Experiment with agent frameworks, orchestration approaches, evaluation techniques, and tooling
  • Troubleshoot, refine, and evolve prototypes in real time with member teams
  • Contribute to internal agent development and experimentation to improve how Info-Tech uses AI in its own service delivery

Research & Thought Leadership (Applied and Practical)
  • Contribute to the development of practical AI resources, including:
    • Agent blueprints and design patterns
    • Workflow templates and prototype examples
    • Evaluation models and implementation guidance
  • Stay current on emerging AI and agentic development practices
  • Translate hands-on experience and industry trends into usable research and frameworks for members.

Advisory & Larger Engagements
  • Provide advisory support to members as they move from prototype to broader implementation
  • Help organizations make informed decisions about:
    • AI architecture and tooling
    • Agent deployment and scaling
    • Governance, risk, and operational considerations
  • Lead advisory calls with senior IT and digital leaders, translating complex AI concepts into practical guidance

Cross-Functional Collaboration & Internal Enablement
  • Partner with Research, Advisory, Sales, Marketing, and Delivery teams to support AI-related initiatives
  • Train peers on published AI research and emerging practices
  • Design and deliver high-quality presentations, workshops, and internal learning sessions as needed

To be successful, you will need:
Experience & Technical Depth
  • 5-8 years of hands-on technical experience, including 2-3+ years building, prototyping, or operationalizing AI/ML systems
  • Practical experience designing and developing AI agents, including orchestration, prompting strategies, tool use, and workflow integration
  • Experience working in or alongside ML Ops or AI delivery teams, with an understanding of how AI systems move from prototype to production

AI & Engineering Toolkit
  • Hands-on experience with modern AI development tools and platforms, including:
    • Programming: Strong proficiency in Python and working knowledge of JavaScript
    • Agent & LLM frameworks: LangChain, PyTorch (or equivalent)
    • AI platforms & APIs: OpenAI SDK or similar foundation model tooling
    • Dev tools: Git, Docker
    • Cloud platforms: AWS and/or Azure
  • Comfortable rapidly building and iterating AI prototypes.

Workshop, Facilitation & Advisory Skills
  • Experience facilitating hands-on technical workshops, hackathons, or build sessions
  • Strong client-facing presence, with the ability to engage both technical teams and senior leaders
  • Track record of building trusted advisor relationships with managers and stakeholders; experience with executive audiences is a strong asset

Education & Credentials
  • Undergraduate degree required; Computer Science or related technical degree preferred
  • Certifications in AI, ML, cloud platforms, or related disciplines are valued, but practical experience is the priority
  • Travel Requirement: Must be flexible and have ability to travel to deliver workshops onsite at client locations both within and outside of North America.
  • Visa Requirement: Must be eligible to obtain appropriate work Visa for cross-border work within North America and globally.
  • Work Hours Requirements: Must be available for after-hours work periodically to service APAC clients.
  • Language Skills: Bilingual proficiency in French, Spanish or German is preferred to support our diverse client base across North America and globally.

Skills & Attributes
  • Inclusion
  • Client Interaction and Facilitation
  • Public Speaking
  • Knowledge Application, Problem Solving & Decision Making
  • Project Management
  • Writing Ability
  • Business Development
  • Research
  • Managing Through Change & Uncertainty
  • Dynamic Learning Mindset

ITRG is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected factors. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process.
#LI-NS2
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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