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Ai Engineer Developer Jobs in Connecticut (NOW HIRING)

ERP AI Engineer - Manager

Hartford, CT · On-site

$99K - $232K/yr

The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to ...

ERP AI Engineer - Manager

Stamford, CT · On-site

$99K - $232K/yr

The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to ...

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

NGA AI Engineer Manager

Stamford, CT · On-site

$73K - $244K/yr

The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...

NGA AI Engineer Manager

Hartford, CT · On-site

$73K - $244K/yr

The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...

Industry/Sector Not Applicable Specialism Assurance Management Level Manager & Summary The Opportunity As part of the AI Engineering team within the Digital Assurance & Technology team, you will play ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Master's degree in related field or 5+ years of equivalent experience in a research or DevOps ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

As a Senior AI/ML engineer youwill manage and modernize the existing predictive model portfolio while helping the team expand into generative AI, agentic AIandother applied AI capabilities. The role ...

Showing results 41-60

Ai Engineer Developer information

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

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Performance Engineer - Chaos Engineering

Kforce Technology Staffing

Shelton, CT • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Performance Engineer for a contract opportunity to work on-site in Shelton, CT 4 days a week. The candidate must also be able to interview in person in Shelton, CT.
Summary:
The Performance Engineer owns and leads the enterprise-wide Performance Engineering function, operating as a horizontal shared service supporting all product, platform, and engineering teams across the company.
Responsibilities:
* Own the enterprise Performance Engineering charter as a horizontal shared service; Define engagement models, intake/prioritization, and performance-readiness standards across the SDLC
* Design, script, execute, and report performance tests (load, stress, endurance, scalability) across high-volume ordering, kiosk, POS, loyalty, and payment flows; Establish baselines, workload models, and SLO/SLI-aligned KPIs
* Identify and resolve bottlenecks across application, database, messaging, and infrastructure layers using observability signals (e.g., Dynatrace)
* Embed automated performance validation into CI/CD pipelines (e.g., Azure DevOps) with baseline and threshold gating, and standardize reporting to reduce manual effort and variability
* Partner with SRE/DevOps to define reliability-aligned targets and run controlled chaos-engineering experiments (fault/latency injection, dependency degradation) to validate resilience and recovery; Feed learnings into hardened runbooks, alerts, and automation
* Define performance-readiness criteria and provide evidence-based go/no-go recommendations for releases; Own escalation paths for performance risk and support production performance-incident resolution; Produce executive-level reporting
* Integrate AI-assisted workflows into performance planning, test-design acceleration, and results triage with human review; Maintain AI-consumable artifacts (NFRs, workload models, baselines, thresholds) and define guardrails for safe, policy-compliant AI use
REQUIREMENTS:
* 5-7+ years in performance engineering/non-functional testing at enterprise scale
* Experience with chaos engineering
* Experience integrating performance validation into CI/CD and partnering with SRE/DevOps practices
* Hands-on experience with AI-assisted engineering tools, including reviewing and validating AI-generated output, required
* Hands-on expertise with performance tools (e.g., JMeter, k6, LoadRunner, NeoLoad, OctoPerf) and observability platforms (e.g., Dynatrace, cloud monitoring)
* Proficiency scripting/automating in Java, JavaScript, or Python; Comfortable in cloud environments (AWS/Azure)
* Strong communication and stakeholder leadership skills; Ability to translate technical findings into business impact
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.