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Associate Production Engineer Jobs in Connecticut

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT

$105K - $144K/yr

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Hartford, CT

$103K - $136K/yr

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Stamford, CT

$109K - $143K/yr

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Stamford, CT · On-site

$111K - $153K/yr

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

CooperCompanies

Manufacturing Engineer I

Trumbull, CT · On-site

$71K - $92K/yr

The Manufacturing Engineer I is expected to have strong partnerships with the production, quality ... Associates or Bachelor's degree in mechanical engineering, Industrial Engineering, or a related ...

Cooper Companies

Manufacturing Engineer I

Trumbull, CT · On-site

$71K - $92K/yr

The Manufacturing Engineer I is expected to have strong partnerships with the production, quality ... Associates or Bachelor's degree in mechanical engineering, Industrial Engineering, or a related ...

Deloitte

Forward Deployed Engineer- AWS

Hartford, CT

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Stamford, CT · On-site

Partner with leaders, product owners, architects, and engineers to align priorities and delivery ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Adecco

Production Workers

Danbury, CT

$23.65 - $26.02/hr

... engineering drawings and technical documentation · Perform routine maintenance on assembly ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

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Showing results 21-40

All JobsAssociate Production Engineer JobsAssociate Production Engineer Jobs in Connecticut

Associate Production Engineer information

See Connecticut salary details

$9

$16

$21

How much do associate production engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate production engineer in Connecticut is $16.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $17.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate production engineer?

To thrive as an Associate Production Engineer, you need a solid understanding of manufacturing processes, problem-solving abilities, and a relevant engineering degree. Familiarity with CAD software, production management systems, and quality control tools is typically required, along with knowledge of safety standards. Strong communication, teamwork, and attention to detail help in coordinating effectively with cross-functional teams and addressing production challenges. These skills and qualities are crucial to ensure efficient, safe, and high-quality manufacturing operations.

What is the difference between Associate Production Engineer vs Production Engineer?

AspectAssociate Production EngineerProduction Engineer
CredentialsBachelor's degree in engineering or related field; entry-level certificationsBachelor's degree in engineering; some roles may prefer professional certifications
Work EnvironmentAssists in daily production activities, quality checks, and process monitoringOversees production processes, implements improvements, and manages teams
Employer & Industry UsageManufacturing plants, oil & gas, chemical industriesManufacturing, oil & gas, chemical industries

The Associate Production Engineer typically performs support and assistant roles in production environments, focusing on learning and executing tasks under supervision. In contrast, the Production Engineer takes on more responsibility for process optimization and decision-making. Both roles are essential in manufacturing and industrial sectors, with the associate position serving as a stepping stone to a full production engineering role.

Are associate production engineers in demand?

Associate production engineers are in demand in manufacturing, energy, and industrial sectors due to ongoing needs for process optimization, automation, and efficiency improvements. Employers seek candidates with technical skills, knowledge of production systems, and relevant certifications, making entry-level roles accessible for those with a relevant engineering background.

What is an associate production engineer?

Associate Production Engineers are entry-level professionals who support the design, implementation, and maintenance of production systems in manufacturing or technology environments. They work closely with senior engineers to troubleshoot issues, optimize processes, and ensure efficient production operations. Their responsibilities often include monitoring equipment, analyzing data, and assisting with process improvements. This role serves as a foundational step for those seeking to advance to higher engineering positions in production or operations.

What are some common challenges faced by an associate production engineer, and how can they be addressed?

Associate Production Engineers often encounter challenges such as troubleshooting equipment malfunctions, maintaining production schedules, and ensuring product quality under tight deadlines. These challenges can be addressed by developing strong problem-solving skills, collaborating closely with maintenance teams, and leveraging data analysis to identify recurring issues. Effective communication with operators and supervisors is also essential to quickly resolve production bottlenecks and maintain smooth workflow. Continuous learning and staying updated on new manufacturing technologies can further help in overcoming these challenges.

What cities in Connecticut are hiring for Associate Production Engineer jobs?

Cities in Connecticut with the most Associate Production Engineer job openings:

Associate Production Engineer jobs near you
Infographic showing various Associate Production Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $33,291 per year, or $16 per hour.

Senior Forward Deployed Engineer- AWS

Deloitte

Hartford, CT

$105K - $144K/yr

Full-time

Re-posted 25 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to 306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to 306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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