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Ai Implementation Jobs in Manchester, CT (NOW HIRING)

Gemology Search

AI Implementation Engineer

New Britain, CT · Hybrid

$85K - $110K/yr

This role combines AI consulting, implementation, customer success, education, and business development. We offer, a comprehensive compensation package including but not limited to: * $85,000-$110 ...

Pwc

AI & GenAI Data Scientist - Manager

Hartford, CT

$99K - $232K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

New

Edge Global

Program Manager Gen AI

Hartford, CT · On-site

... implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits ...

NAM Info Inc

Technical Program Manager Gen AI

Hartford, CT · On-site

$130K - $168K/yr

... implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits ...

JLL

Product Implementation Team Manager

Hartford, CT · Remote

Partner with stakeholders to implement system enhancements, AI, and automation opportunities * Maintain comprehensive documentation of support processes and procedures Sound Like You? Required ...

Pwc

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Deloitte

Google AI Architect

Hartford, CT

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

Info Way Solutions is a company focused on advanced AI technologies, and they are seeking a Gen AI Engineer to design and implement innovative AI/ML models. The role involves developing generative AI ...

Deloitte

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

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All JobsAi Implementation JobsAi Implementation Jobs in Manchester, CT

Ai Implementation information

See Manchester, CT salary details

$39.4K

$104.6K

$169.7K

How much do ai implementation jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai implementation in Manchester, CT is $104,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $122,200.00 per year, depending on experience, location, and employer.

What is an AI implementation?

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 are the key skills and qualifications needed to thrive in the AI implementation position?

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 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.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Manchester, CT?

For Ai Implementation jobs in Manchester, CT, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Manchester, CT look for?

The top searched job categories for Ai Implementation jobs in Manchester, CT are:

What cities near Manchester, CT are hiring for Ai Implementation jobs?

Cities near Manchester, CT with the most Ai Implementation job openings:

Ai Implementation jobs near you

AI Implementation Engineer

New Britain, CT • Hybrid

Gemology Search
See more jobs at Gemology Searchexternal

$85K - $110K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago

Job description

Located in New Britain, CT we are a rapidly growing AI start-up that's helping small and mid-sized businesses adopt AI in practical, meaningful ways. This isn't about flashy demos or theoretical use cases. It's about teaching clients how to use AI confidently while building automations that save them real time and solve real business problems.

If you're the type of person who pays for with Claude Pro, ChatGPT Pro, Cursor, Codex, or other AI tools because you genuinely are curious and enjoy experimenting—not because your employer requires it—you'll probably really enjoy this opportunity. We're looking for someone who's naturally curious, enjoys building things, loves learning new technology, and gets excited about helping others succeed. This role combines AI consulting, implementation, customer success, education, and business development.

We offer, a comprehensive compensation package including but not limited to:

  • $85,000–$110,000 base (DOE)
  • Performance-based bonuses AND commission opportunities
  • Medical, dental, and vision benefits
  • Unlimited PTO
  • Several Paid holidays
  • Hybrid work environment (3 days on site/2 days at home with flexibility)
  • Opportunity to join a growing, entrepreneurial team at the forefront of AI consulting

What You'll Do

  • Work directly with business owners and leadership teams to help them adopt AI across their organizations.
  • Design and build AI-powered workflows and automations using modern AI tools, APIs, and automation platforms.
  • Teach non-technical users how to confidently use AI in their day-to-day work.
  • Identify opportunities to streamline manual processes and improve operational efficiency.
  • Stay current on emerging AI tools, models, and best practices.
  • Build relationships through networking, referrals, and community involvement while contributing to business growth

What we're looking for: The strongest candidates don't just use AI—they're constantly experimenting with it. You probably:

  • Use AI every day in your personal and professional life.
  • Pay for premium AI tools because you're passionate about learning and staying ahead.
  • Build personal AI projects simply because you're curious.
  • Enjoy figuring out better ways to solve problems.
  • Can explain technical concepts to non-technical audiences.
  • Thrive in fast-paced environments where you'll wear multiple hats.
  • Enjoy meeting new people and building relationships.
  • Recent graduates with exceptional AI experience are encouraged to apply.

Bonus Points

Experience with any of the following:

  • Claude Code
  • ChatGPT Pro / Codex
  • Cursor
  • MCPs (Model Context Protocol)
  • n8n
  • APIs & Webhooks
  • AI Agents
  • Workflow Automation
  • Prompt Engineering
  • Low-code / No-code automation platforms

Interview Process

We're much more interested in how you think than what's listed on your resume.

Be prepared to discuss:

  • The coolest thing you've built with AI that nobody asked you to build.
  • Your daily AI workflow.
  • How you evaluate new AI models and tools.
  • A project you've built from start to finish.
  • How you would explain AI concepts to someone with little or no technical background.