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Ai Coding Jobs in Massachusetts (NOW HIRING)

Perform rigorous code review - especially of AI-generated code - ensuring production-grade quality, security, and systems design * Learn rapidly in a fast-paced environment alongside senior engineers

Perform rigorous code review - especially of AI-generated code - ensuring production-grade quality, security, and systems design * Learn rapidly in a fast-paced environment alongside senior engineers

Software Development Engineer II, Consumer

Boston, MA · On-site

$105K - $145K/yr

Use AI coding assistants and multi-agent workflows as part of your daily development process to prototype faster, improve code quality, and automate repetitive tasks * Partner with product managers ...

Principal Full Stack AI Engineer

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrated experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Because AI coding agents can now generate and refactor code effectively, the critical skill we are seeking is the ability to maintain an accurate mental model of a complex system consisting of optics ...

Principal Full Stack AI Engineer

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrated experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.

Senior Software Engineer

Wilmington, MA

$133K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Because AI coding agents can now generate and refactor code effectively, the critical skill we are seeking is the ability to maintain an accurate mental model of a complex system consisting of optics ...

Showing results 41-60

Ai Coding information

See Massachusetts salary details

$14

$36

$59

How much do ai coding jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai coding in Massachusetts is $36.06, according to ZipRecruiter salary data. Most workers in this role earn between $27.31 and $43.56 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

What are the most commonly searched types of Ai Coding jobs in Massachusetts?

The most popular types of Ai Coding jobs in Massachusetts are:

What job categories do people searching Ai Coding jobs in Massachusetts look for?

The top searched job categories for Ai Coding jobs in Massachusetts are:

Infographic showing various Ai Coding job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $75,011 per year, or $36.1 per hour.

Generative AI Platform Manager, Vice President

State Street Global Advisors

Quincy, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

About the Role

We're seeking a strategic, hands-on VP to lead the design and delivery of our enterprise Generative AI platform. Primary depth required in AWS Bedrock, Azure AI Foundry, Azure OpenAI, and Databricks, with strong skills in IaC authorship, Harness CI/CD, FinOps, and AI-assisted developer tooling. You'll set technical direction, author production-grade constructs, mentor senior engineers, and enable data scientists and application teams to ship Gen AI solutions at scale.

Key Responsibilities

AWS Bedrock Platform (Primary)

  • Own enterprise Bedrock strategy: model access governance, provisioned throughput, cross-region inference, multi-account architecture
  • Operationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model Evaluation
  • Lead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and Cohere
  • Design RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and Kendra
  • Optimize consumption: on-demand vs. PT, model routing, prompt caching, token efficiency

Azure AI Foundry & Azure OpenAI (Primary)

  • Own Foundry hub/project architecture, model catalog governance, and quota management
  • Lead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT-4o, GPT-4.1, and o-series models
  • Architect RAG/agent workloads with AI Search, prompt flow, and Agent Service
  • Implement Content Safety, private networking, Entra ID, CMK, and data residency controls

Databricks & Data-Centric AI (Primary)

  • Own Databricks strategy on AWS and Azure: workspace architecture, Unity Catalog, cluster policies
  • Lead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflow
  • Architect fine-tuning/pretraining pipelines and lakehouse-native RAG on Delta Lake
  • Establish DBU cost controls and serverless governance

Infrastructure as Code & Golden Paths

  • Author L2/L3 CDK constructs (TypeScript/Python), Bicep modules, and Terraform for multi-cloud AI infra
  • Codify secure-by-default "golden paths" enabling teams to launch Gen AI workloads in hours
  • Standardize config-as-code, secrets management, and drift detection

Harness CI/CD

  • Own Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks Asset Bundles
  • Integrate with GitOps, Terraform/CDK/Bicep, OPA policy-as-code, and approval gates
  • Establish reference pipelines with linting, security scanning, model eval, and cost checks

Developer Experience

  • Champion Claude Desktop, MCP servers, and AI coding assistants (Copilot, Cursor, Claude Code)
  • Build internal MCP servers exposing enterprise systems to agentic clients
  • Define secure usage patterns for regulated environments; measure productivity impact

Governance & Leadership

  • Establish security, compliance, and responsible AI controls (red-teaming, audit logging, guardrails)
  • Build observability across CloudWatch, Azure Monitor, Databricks system tables, Grafana, Datadog
  • Partner with Data, MLOps, Security, and Application leadership; recruit and mentor a top-tier team
Required Skills
  • Bedrock: Knowledge Bases, Agents, Guardrails, Flows, PT; Claude, Nova, Llama, Mistral; RAG and vector stores (OpenSearch, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, LangGraph, Strands)
  • Azure AI: Foundry hubs/projects, prompt flow, Agent Service; Azure OpenAI (GPT-4o/4.1, o-series, PTU); AI Search; Content Safety
  • Databricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta Lake
  • IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets management
  • CI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOps
  • FinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimization
  • Dev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, Cursor
  • Cloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AI
  • Data: Delta Lake, Unity Catalog, RAG/fine-tuning data pipelines, governance/lineage
  • Observability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, Datadog
  • Languages: Python (primary), TypeScript
  • Leadership: Scaling senior teams hands-on, executive communication, owning budgets/roadmaps
Education & Experience
  • Bachelor's or Master's in CS, Engineering, or IT
  • 10+ years in platform/cloud/SRE engineering
  • 5+ years hands-on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks
  • 3+ years in technical leadership or people management
  • Financial services or regulated-industry experience strongly preferred
Preferred Qualifications
  • Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise-wide
  • Enterprise-scale Harness pipeline authoring and rollout
  • Fine-tuning/continued pretraining experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock Custom Models
  • Model optimization: quantization, distillation, prompt caching, speculative decoding
  • PTU/PT capacity planning at scale
  • Production MCP servers and Claude Desktop deployments in regulated environments
  • Agentic frameworks (Bedrock Agents, Azure AI Agent Service, Databricks Agent Framework, LangGraph, Strands)
  • AI safety/guardrail frameworks (Bedrock Guardrails, Azure Content Safety, NeMo, Guardrails AI)
  • Measurable FinOps wins (token/DBU/inference cost reduction)
  • Open-source contributions (CDK, Terraform providers, MCP)
  • Multi-tenant AI platforms with chargeback/showback
  • Board/regulator-level presentation experience
Certifications (one or more preferred)
  • AWS: Solutions Architect Pro, ML Specialty, DevOps Engineer Pro
  • Azure: AZ-305, AI-102, AZ-400, OP-100
  • Databricks: Data Engineer Pro, ML Pro, or Generative AI Engineer Associate
  • GCP: Professional Cloud Architect or ML Engineer (complementary)
  • Harness: Certified Expert (CD or Platform)
  • Anthropic: Claude Builder or partner credentials

Salary Range:

$120,000 - $202,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.