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Senior Remote Prompt Engineering Jobs in Manchester, CT

AVP, Software Engineering Lead

Hartford, CT ยท On-site +1

$255K/yr

The AVP, Software Engineering Lead is a senior technology leader responsible for defining and ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Senior Network Engineer

Glastonbury, CT ยท On-site +1

$104K - $142K/yr

The Senior Network Engineer will serve as a key technical resource in the planning and execution of ... remote with travel to Glastonbury, CT. What you will do: Network Architecture & Engineering

Senior Network Engineer

Glastonbury, CT ยท On-site +1

$104K - $142K/yr

The Senior Network Engineer will serve as a key technical resource in the planning and execution of ... remote with travel to Glastonbury, CT. What you will do: Network Architecture & Engineering

AI Solutions Associate

Farmington, CT ยท On-site +1

$60K - $75K/yr

Preferred: exposure to cloud platforms, APIs, LLM integrations, prompt engineering, RAG workflows ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT

AI Solutions Associate

Farmington, CT ยท Remote

$60K - $75K/yr

Preferred: exposure to cloud platforms, APIs, LLM integrations, prompt engineering, RAG workflows ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT

Senior Controls Engineer

Hartford, CT ยท On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... Partner crossfunctionally with Controls Engineering, Service, Commissioning, and Sales teams to ...

Senior Staff AI Data Engineer

Hartford, CT ยท On-site +1

$106K - $145K/yr

... and data engineering strategies. Embrace our core values of innovation, collaboration, and ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ...

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Showing results 1-20

Senior Remote Prompt Engineering information

See Manchester, CT salary details

$25.3K

$81.1K

$165.1K

How much do senior remote prompt engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior remote prompt engineering in Manchester, CT is $81,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a senior remote prompt engineer?

A Senior Remote Prompt Engineer is an experienced professional who specializes in designing, testing, and refining prompts for AI language models such as ChatGPT. Working remotely, they collaborate with teams to optimize AI outputs, ensuring relevance, accuracy, and alignment with user or business needs. Their responsibilities often include prompt experimentation, data analysis, and staying current with advancements in AI technologies. Senior Prompt Engineers typically have strong backgrounds in programming, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a senior remote prompt engineer?

To thrive as a Senior Remote Prompt Engineer, you need deep expertise in natural language processing, machine learning, and prompt design, often supported by a degree in computer science or related field. Familiarity with AI frameworks (such as OpenAI, Hugging Face), version control systems, and advanced prompt engineering tools is typically required. Strong problem-solving, communication, and collaboration skills set you apart in cross-functional, remote environments. These skills and qualities are crucial for creating effective AI interactions, optimizing model performance, and contributing to innovative NLP solutions.

What are some unique challenges faced by senior remote prompt engineers, and how can they be addressed?

Senior Remote Prompt Engineers often encounter challenges such as staying updated with rapidly evolving AI models and maintaining effective communication across distributed teams. To address these, it's important to participate in ongoing training, collaborate closely with cross-functional teams through regular virtual meetings, and contribute to shared documentation. Additionally, proactively seeking feedback and sharing prompt engineering strategies can help maintain high-quality outputs and foster team cohesion, even when working remotely.

What is the difference between Senior Remote Prompt Engineering vs Machine Learning Engineer?

AspectSenior Remote Prompt EngineeringMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with NLP and prompt designBachelor's or higher in CS, data science, or related field; ML certifications often preferred
Work EnvironmentRemote, collaborative teams focusing on prompt development and AI interactionRemote or on-site, developing ML models, algorithms, and data pipelines
Industry UsageAI, NLP, chatbot development, AI product companiesTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

While both roles involve working with AI technologies, Senior Remote Prompt Engineers focus on designing and optimizing prompts for AI models, especially in NLP applications. Machine Learning Engineers develop and deploy ML models and algorithms. The roles overlap in AI and remote work environments but differ in technical focus and responsibilities.

What cities near Manchester, CT are hiring for Senior Remote Prompt Engineering jobs?

Cities near Manchester, CT with the most Senior Remote Prompt Engineering job openings:

Infographic showing various Senior Remote Prompt Engineering job openings in Manchester, CT as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $81,090 per year, or $39 per hour.

AVP, AI (Data Science/Engineer) Remote - EST

Archgroup

Hartford, CT โ€ข Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning.Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.

Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.

Key Responsibilities

Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.

Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.

Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.

Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.

Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.

Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.

Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.

Translate business opportunities into scalable AI solutions that deliver measurable business value.

Required Skills and Experience

7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.

3+ years of people leadership experience.

Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.

Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.

Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.

Strong experience evaluating AI technologies, platforms, and vendors.

Strong Python experience for data science, machine learning, and AI development.

Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.

Strong communication skills with the ability to influence technical and non-technical stakeholders.

Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.

Desired Skills and Experience

Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.

Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.

Experience applying AI and machine learning within enterprise environments.

Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.

Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC