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Computer Science And Engineering Jobs in Connecticut

Senior AI Engineer - SFL Scientific

Stamford, CT · On-site

$111K - $153K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software ...

Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make their careers in the IT industry are encouraged to apply. Candidates who are serious about their future ...

Full Stack Java Developer

Manchester, CT · On-site

$53.50 - $69.25/hr

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to ...

ENTRY LEVEL PYTHON DEVELOPER

Hartford, CT · On-site

$50.75 - $69.75/hr

Who Should Apply Recent computer science/engineering/mathematics/statistics or science graduates or anyone looking to make their career in the IT industry. We also assist in filing for STEM extension ...

Qualifications * BS in Computer Science, Engineering or Mathematics * Minimum of 3 years of experience as an applications developer * Minimum of 3 years of experience in Java technologies (Java ...

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required. * Proven leadership developing personalization systems, recommendation engines, search/ranking ...

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Computer Science And Engineering information

See Connecticut salary details

$46.1K

$115.6K

$130.8K

How much do computer science and engineering jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer science and engineering in Connecticut is $115,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $125,100.00 per year, depending on experience, location, and employer.
Infographic showing various Computer Science And 
Engineering job openings in Connecticut as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 3% As Needed, 67% Full Time, 6% Part Time, and 22% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $115,596 per year, or $55.6 per hour.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Stamford, CT • On-site

$111K - $153K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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