AI Engineer - AWS
GenAI/Agentic
Job Information
- Date Opened: 06/19/2026
- Job Type: Full time
- Industry: IT Services
- Location: Boston, MA / Charlotte, NC
- City: Boston
- State/Province: Massachusetts
- Country: United States
- Zip/Postal Code: 02114
About DATAECONOMY
DATAECONOMY is one of the fastest-growing Data & Analytics companies with global presence. We are well-differentiated and 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.
Education and Experience
Qualifications:
- Bachelor's degree in computer science, Information Systems, or equivalent 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
- Research, learn, and apply new tools and techniques rapidly and suggest new concepts to improve performance
- Recognize current application infrastructure and suggest new concepts to improve performance
- Design and build production grade and secure GenAI and Agentic AI applications
- Produce reusable, efficient, and scalable programs, and cost-effective strategies
- Develop AI pipelines and integrate with data in Databricks and leverage different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda
- Comfortable to work on tight timelines, when required
Required Skill Sets
- 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, Postgres and other key services
- Solid and proven experience in building GenAI and Agentic AI applications using LLM
- Solid knowledge of GenAI components such as RAG, Vector Database, 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 Skill Sets
- Knowledge of Databricks, Apache Airflow
- Knowledge of Machine Learning
- Solid knowledge on CI/CD pipelines in AWS technologies
- Finance and Compliance domain knowledge
Benefits
Standard fulltime benefits
About DATAECONOMY
DATAECONOMY is a data and AI consultancy that provides enterprise-grade solutions for data modernization, analytics, and artificial intelligence. The company serves financial services, banking, insurance, and other enterprises with services spanning data engineering, data governance, AI/ML, cloud enablement, and digital transformation.
Interested in this role?
Apply now to join DATAECONOMY.