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Agentic Ai Engineer Jobs in Boston, MA (NOW HIRING)

GenAI/Agentic AI Engineer

Boston, MA · On-site

$150 - $200/hr

Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies. * Any AWS and/or Databricks certification will be a plus. Roles & Responsibilities * Should be ...

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible) Primary Objective We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate ...

Senior Analyst, Agentic AI Engineer Our team sits at the forefront of Dell's Agentic AI transformation. We are building AI-native workflows, autonomous agents, and enterprise operating models that ...

New

Lead AI Engineer

Boston, MA · On-site

$111K - $146K/yr

Boston, MA / Windsor, CT | Remote W2 ONLY We are seeking a Lead AI Engineer with strong Generative AI, Agentic AI, and Financial Services experience. Retirement/Wealth Management background is highly ...

Agentic AI Engineer

Boston, MA · On-site

$150 - $200/hr

Job Title Agentic AI Engineer Job ID 131279 City / Township / Village State / Province Country Work arrangement Hybrid Area of work Data & Analytics Employment type Regular Contract type Regular ...

Posted today

AI Engineer

Boston, MA · Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world ...

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Showing results 1-20

Agentic Ai Engineer information

See Boston, MA salary details

$42.5K

$110.8K

$149.8K

How much do agentic ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for agentic ai engineer in Boston, MA is $110,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,900.00 per year, depending on experience, location, and employer.

Is agentic AI engineer a good career?

Agentic AI engineering is a growing field focused on developing autonomous AI systems, requiring skills in machine learning, programming, and systems design. It offers opportunities in research, development, and deployment across various industries, with demand expected to increase as AI technology advances. The role typically requires a strong technical background and continuous learning to stay current with evolving tools and techniques.

What does an Agentic AI Engineer do?

An Agentic AI Engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and robotics, often requiring skills in programming, data analysis, and system integration to create intelligent agents that can operate in dynamic environments.

What are popular job titles related to Agentic Ai Engineer jobs in Boston, MA?

For Agentic Ai Engineer jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Agentic Ai Engineer jobs?

Cities near Boston, MA with the most Agentic Ai Engineer job openings:

Infographic showing various Agentic Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 71% Full Time, 5% Part Time, 2% Temporary, and 22% Contract. Highlights an 79% In-person, 4% Hybrid, and 17% Remote job distribution, with an average salary of $110,843 per year, or $53.3 per hour.

GenAI/Agentic AI Engineer

DATAECONOMY Inc

Boston, MA • On-site

$150 - $200/hr

Other

Posted 20 days ago


Job description

Boston, United States | Posted on 06/19/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Full-time

Education and experienceQualification
  • Bachelor's degree in computer science, Information Systems, orequivalent education or work experience.
  • Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies.
  • Any AWS and/or Databricks certification will be a plus.
Roles & Responsibilities
  • Should be able to work independently with minimal directions and guide the team.
  • Researching, learning, and applying new tools and techniques rapidly and suggesting new concepts to improve performance.
  • Recognize the current application infrastructure and suggest new concepts to improve performance.
  • Design and build productiongrade and secure GenAI and Agentic AI applications.
  • Produce reusable, efficient, and scalable programs, and also cost-effective strategies.
  • Develop AI pipelines and integrate with the data in Databricks and leverage different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
  • Comfortable to work on tight timelines, when required.
Skill Sets Required
  • Good decision-making and problem-solving skills.
  • Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi etc.,).
  • Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services.
  • Solid and proven experience in building GenAI and AgenticAI applications using LLM.
  • Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.
  • Good Understanding of GenAI/Agentic AI model architecture best practices.
  • Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.
Nice to have SkillSets
  • Knowledge of Databricks, Apache Airflow.
  • Knowledge of Machine Learning.
  • Solid knowledge on CI/CD pipelines in AWS technologies.
  • Finance and Compliance domain knowledge.
Requirements
  • Good decision-making and problem-solving skills.
  • Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi etc.,).
  • Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services.
  • Solid and proven experience in building GenAI and AgenticAI applications using LLM.
  • Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.
  • Good Understanding of GenAI/Agentic AI model architecture best practices.
  • Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.
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