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Prompt Engineering Jobs in Enfield, CT (NOW HIRING)

Pwc

AI Solutions Engineering Delivery Lead

Hartford, CT

$103K - $136K/yr

... prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive experience with ...

Infosys

AI Engineer

Hartford, CT · On-site

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

Pwc

US Tech - AI Engineering Senior Associate

Hartford, CT · On-site

$55K - $187K/yr

... prompt engineering concepts - Understanding enterprise data patterns and quality frameworks - Building and maintaining automated test suites for AI agents - Validating integrations with Power ...

Sidmans

Lead CCAI Expert

East Hartford, CT · On-site

Prompt engineering and response quality tuning * Understanding of responsible AI, privacy, and security considerations Nice to Have Telephony or contact-center platforms (SIPREC, Genesys, VoIP)Redis ...

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All JobsPrompt Engineering JobsPrompt Engineering Jobs in Enfield, CT

Prompt Engineering information

See Enfield, CT salary details

$33K

$63.9K

$96.9K

How much do prompt engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for prompt engineering in Enfield, CT is $63,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $73,000.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What cities near Enfield, CT are hiring for Prompt Engineering jobs? Cities near Enfield, CT with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Enfield, CT as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,890 per year, or $30.7 per hour.

Gen AI Tech Consultant- Only W2

Info Dinamica Inc

Bloomfield, CT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Gen AI Tech Consultant
Location: Onsite at client office - Bloomfield, CT
W2 Position
Name
Required
Large Language Model (LLM)
Yes
Open AI
Yes
AI/ML
Yes
Python
Yes
Rest API
Yes
Position Overview
We are seeking an experienced Gen AI Tech Consultant with 12+ years of industry experience to drive the adoption and implementation of Artificial Intelligence, Generative AI, and Agentic AI solutions within the healthcare domain. The ideal candidate will possess a strong combination of AI expertise, strategic consulting capabilities, healthcare industry knowledge, and hands-on technical experience to deliver innovative AI-powered solutions that generate measurable business value.
This role requires a trusted advisor who can bridge business and technology teams, define AI strategies, evaluate emerging technologies, and lead enterprise AI transformation initiatives while ensuring scalable, secure, and compliant implementations.
Key Responsibilities
Serve as a trusted AI advisor for healthcare clients, providing thought leadership across AI, Generative AI, Agentic AI, and intelligent automation.
Lead the design, architecture, and implementation of AI-driven solutions aligned with healthcare business objectives and operational challenges.
Translate complex AI concepts into clear business outcomes and value propositions for executives, stakeholders, and clinical teams.
Conduct AI opportunity assessments, identify high-value use cases, and develop strategic roadmaps for AI adoption.
Facilitate executive workshops and stakeholder discussions to demonstrate AI capabilities and innovation opportunities.
Evaluate AI platforms, vendors, frameworks, and emerging technologies, providing recommendations based on scalability, security, compliance, and ROI.
Collaborate with architects, data scientists, engineering teams, and business leaders to deliver AI solutions from concept through production.
Drive discussions around AI governance, responsible AI, data privacy, risk management, and healthcare compliance requirements.
Monitor market trends, industry innovations, and best practices to influence AI strategy and technology direction.
Contribute to client proposals, presentations, solution accelerators, and AI transformation initiatives.
Required Qualifications
12+ years of overall IT industry experience.
Strong consulting and stakeholder management experience.
Proven experience leading enterprise AI and digital transformation initiatives.
Experience working within healthcare, payer, provider, or life sciences environments.
AI / Machine Learning & Large Language Models (Must Have)
Hands-on experience with OpenAI APIs, LangChain, CrewAI, AutoGen, or similar frameworks.
Strong understanding of Generative AI, Agentic AI, prompt engineering, embeddings, RAG architectures, and semantic search.
Experience integrating LLMs into enterprise applications.
Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or pgvector.
Familiarity with AI governance, responsible AI practices, and model evaluation techniques.
Python Backend Development
Strong expertise in Python development.
Experience with FastAPI, Django, and/or Flask.
Experience building RESTful APIs and scalable backend services.
Strong knowledge of asynchronous programming patterns.
Hands-on experience with SQLAlchemy and database integration.
AWS Cloud & Microservices Architecture
Strong hands-on experience with AWS services including:
EC2
S3
Lambda
EKS
Glue
Experience with Docker and Kubernetes.
Experience designing and deploying microservices-based applications.
Strong understanding of distributed systems and cloud-native architectures.
Experience with CI/CD pipelines and DevOps practices.
Preferred Qualifications
Experience implementing AI solutions in healthcare environments.
Knowledge of healthcare standards, compliance, and regulatory frameworks.
Experience with data governance, HIPAA, and healthcare data security requirements.
Strong presentation, facilitation, and executive communication skills.
Ability to influence both technical and business stakeholders.
Required Skills Summary
Generative AI
Agentic AI
OpenAI APIs
LangChain
Prompt Engineering
RAG Architecture
Vector Databases
Python
FastAPI/Django/Flask
SQLAlchemy
AWS Cloud
Docker
Kubernetes
Microservices
CI/CD
Healthcare Domain
AI Strategy & Consulting
Years of Experience: 12 Years of Experience
Rate Details

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