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Senior Reinforcement Learning Jobs in Suffield, CT

Harc Inc

Teacher - Birth to Three

Hartford, CT · On-site

Senior Director of Birth - Three As a Teacher at Harc, Inc. Steppingstones, a state-contracted ... learning programs developed by a Board Certified Behavior Analyst (BCBA) / Licensed Behavior ...

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Senior Reinforcement Learning information

See Suffield, CT salary details

$24.3K

$78K

$158.9K

How much do senior reinforcement learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior reinforcement learning in Suffield, CT is $78,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 per year, depending on experience, location, and employer.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What are the most commonly searched types of Reinforcement Learning jobs in Suffield, CT?

The most popular types of Reinforcement Learning jobs in Suffield, CT are:

What job categories do people searching Senior Reinforcement Learning jobs in Suffield, CT look for?

The top searched job categories for Senior Reinforcement Learning jobs in Suffield, CT are:

What cities near Suffield, CT are hiring for Senior Reinforcement Learning jobs?

Cities near Suffield, CT with the most Senior Reinforcement Learning job openings:

Senior Reinforcement Learning jobs near you
Infographic showing various Senior Reinforcement Learning job openings in Suffield, CT as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $78,009 per year, or $37.5 per hour.

Lead Architect , AI Solutions Architecture - EDDA

The Travelers Indemnity Company

Hartford, CT • On-site

$169.40 - $279.60/hr

Other

Medical, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Compensation Overview

The annual base salary range for this position is $169,400.00 - $279,600.00. Salary will be determined by factors such as scope, complexity, location, skills, education, training, credentials, experience, and other conditions of employment. Employees are also eligible for performance‑based cash incentive awards.

What Is the Opportunity?

Collaborative Environment, Transformational Projects, and a Growing Team!

As a Lead Architect, you will collaborate with senior Technology and Business leaders, apply your deep technical proficiency and visionary thinking to architect AI systems that drive business value while maintaining ethical standards.

Responsibilities
  • Scope: Responsible for architecture for multiple technology and/or business segments/domains for a single business unit.
  • Technical Execution: Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
  • Proactively identify opportunities to capitalize on technology advances through analysis of key industry and technology trends.
  • Drive continuous technology transformation to minimize technical debt.
  • Conduct hands‑on prototyping of new technology solutions.
  • Partner with Technology and Business leadership to ensure proper alignment with technology direction and execution of proof of technologies.
  • Strategic Accountability: Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
  • Engage with senior leaders to develop architecture priorities and direction to enable business imperatives and gain buy‑in.
  • Prepare and deliver communications to convey architectural direction.
  • Drive strategic relationships and champion organizational buy‑in.
  • Perform other duties as assigned.
Qualifications
  • Bachelor’s degree in technology‑related field or equivalent, with 8 to 10 years of architecture experience.
  • Advanced level architecture and recent hands‑on strong engineering experience with modern technologies.
  • Successful execution of complex, large‑scale technology strategies.
  • Advanced leadership skills with ability to collaborate across functions and influence architecture and engineering leaders.
  • Extensive experience in an agile operational model and supporting transformational change.
  • Experience developing technology target states and roadmaps aligned to business goals.
  • Insurance technology experience preferred.
  • Strong understanding of value creation and business capability models and the insurance industry.
  • Advanced and effective verbal, written, and listening communication skills.
AI Expertise
  • Proven track record defining scalable, production‑grade AI systems, including distributed and parallel processing architectures.
  • Hands‑on expertise in AI/ML development and deployment, with deep knowledge of ML algorithms, neural network architectures, and optimization techniques.
  • Strong mathematical foundation in linear algebra, statistics, and probability theory.
  • Experience with MLOps & AI Ops practices and CI/CD pipelines for AI/ML systems.
  • Hands‑on experience with agentic coding tools such as Claude Enterprise, OpenAI Codex, and GitHub Copilot.
  • Hands‑on experience with Generative AI foundations—transformer architectures, LLMs, diffusion models, VAEs, GANs, prompt engineering, fine‑tuning, and RLHF.
  • Experience with multimodal AI systems.
  • Experience building autonomous AI systems with planning and reasoning capabilities, including reinforcement learning and decision‑making frameworks.
  • Hands‑on experience with agentic patterns—tool use, function calling, API integration, memory systems, RAG, vector databases, and multi‑agent orchestration.
  • Hands‑on or working experience with agent orchestration frameworks (LangChain, Strands, Crew AI) and protocols including MCP and Agent2Agent.
  • Deep experience with cloud AI services such as AWS Bedrock (including optional Azure Foundry/Agent 365 or GCP/Gemini AI), including SaaS AI and agentic capabilities.
  • Knowledge of AI ethics, bias mitigation, responsible AI practices, and regulatory frameworks (EU AI Act, GDPR).
  • Experience with AI governance frameworks and model risk management.
Must Have
  • Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 7 additional years of architecture/software engineering experience.
  • 2 years of technical leadership experience.
Benefits
  • Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
  • Retirement: Travelers matches your 401(k) contributions dollar‑for‑dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company holidays.
  • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement: Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

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