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Artificial Intelligence Software Developer Jobs in Connecticut

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

Siemens

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization.

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All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Connecticut

Artificial Intelligence Software Developer information

See Connecticut salary details

$45.7K

$106.4K

$157.9K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for artificial intelligence software developer in Connecticut is $106,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,397 per year, or $51.2 per hour.

IT - Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL

Groton, CT • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

Full-time

Re-posted 29 days ago

Job description

Job Title Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL
Work Location & Reporting Address Groton, CT 6340
Vendor Rate XXX/Hr.
Contract duration 12
Target Start Date 18 May 2026
Job Details:
TECHNICAL SKILLS:
Azure Foundation & Platform
- Azure Foundation and Platform Build
- Provisioning and configuring Azure foundation services
- Managing environments (Dev/Test/Prod) - subscriptions, resource groups
- Azure governance controls (Azure Policies, RBAC, authorization standards)
- Azure Application Gateway configuration (routing rules, backend pools, TLS/SSL, health probes)
AI/ML Expertise
- RAG (Retrieval-Augmented Generation) architecture and implementation
- Prompt Engineering and LLM optimization
- AI model monitoring, evaluation, and performance tuning
- Vector databases and embedding models
- AI/ML frameworks (PyTorch, TensorFlow, LangChain)
Logging, Monitoring & Security
- Logging, monitoring, and auditing capabilities for GENESIS
- Audit logging module (before-and-after values for traceability/compliance)
- Azure Key Vault integration
- Certificate lifecycle management and privileged access workflows
DevOps & Infrastructure
- Terraform scripts
- GitHub Actions
- CI/CD pipeline design and implementation
- Docker/Kubernetes
Database & Data
- PostgreSQL database administration
- Oracle Database (Argus DB, SAI_OWNER schema)
- Data repository structures for ingestion, storage, and downstream consumption
- JSON/XML data processing
Backup/DR & Business Continuity
- Backup/DR and Business Continuity strategies
- Backup policies, retention, restore testing
- DR approach with RTO/RPO assumptions
DOMAIN KNOWLEDGE
- Life Sciences
- Pharmacovigilance and drug safety processes
- E2B (Electronic Submission) standards
- Regulatory compliance (FDA, EMA)
LEADERSHIP & SOFT SKILLS
- Leading cross-functional teams across
- Mentoring the AMS team
- Stakeholder communication and presentation
- Agile/Scrum methodologies
- Architecture documentation (diagrams, decision logs, Design Specification Documents)
- Engineering support for deployments and defect triage
KEY RESPONSIBILITIES IN GENESIS AMS
1. Lead AI AMS team (AI Engineers) India
2. Drive Prompt Engineering for VOX and SAI
3. Support L2/L3 ticket resolution for AI-related issues
4. Coordinate with Infrastructure team for Azure resources
5. Provide engineering support for deployments
6. Support defect triage (platform, gateway, logging/audit, infrastructure issues)
Detailed Job Description
We are looking to staff an experienced onsite AI Technical Lead (Someone at the senior TL or architect level) who has a robust background in Azure infrastructure, CI/CD data pipeline management, and PostgreSQL. Ideally, we'd like to find someone with experience in Life Sciences or Pharmacovigilance to align with the domain requirements.
The role will be based in Parsippany, NJ.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Lead AI AMS team AI Engineers India
Drive Prompt Engineering for VOX and SAI
Support L2L3 ticket resolution for AIrelated issues
Interview Process (Is face to face required?) Yes

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