Job description
An Agentic AI AWS Lead Developer is a senior engineering role responsible for leading the design, development, and deployment of autonomous AI agents on the Amazon Web Services (AWS) cloud platform. This role combines strong software engineering practices, deep AWS expertise, and specialized knowledge of agentic AI frameworks to create scalable, reliable, and secure AI solutions.
Key Responsibilities Lead AI Development: Drive the strategic direction and technical implementation of agentic AI projects, from concept through deployment.
Architecture & Design: Architect and implement scalable, high-performance, and secure AI/ML infrastructures and application stacks on AWS. This includes designing agent roles, memory systems, and inter-agent communication protocols.
AWS Integration: Develop innovative solutions using a wide range of AWS services, such as ECS, EC2, S3, Lambda, DynamoDB, API Gateway, and Amazon Bedrock, ensuring seamless integration into existing systems Coding & Quality Assurance: Write and review high-quality, production-ready code, primarily in languages like Python or Java/Node.js. Ensure adherence to best practices and coding standards.
Collaboration & Mentorship: Work closely with business stakeholders, product managers, data scientists, and engineering teams to understand requirements and deliver valuable solutions. Mentor junior engineers and foster a culture of continuous learning.
Innovation & R&D: Stay ahead of industry trends in agentic AI and generative AI technologies, evaluating new methodologies and tools (e.g., LangChain, PyTorch) to enhance AI capabilities and solve complex business problems.
Required Qualifications & Skills Experience: Proven experience in a senior or lead engineering role, with substantial applied experience in software development (typically 5+ years).
AWS Expertise: Deep understanding of core AWS services and cloud-native application design, including infrastructure-as-code tools like Terraform or CloudFormation. Programming Languages: Strong proficiency in Python, Java, or Node.js.
AI/ML Knowledge: Experience with Agentic AI technologies, LLMs, machine learning algorithms, and relevant libraries/tools (e.g., LangChain, PyTorch, scikit-learn).
Methodologies: Advanced understanding of Agile methodologies, DevOps practices, CI/CD pipelines, and application security principles.
Qualification
An Agentic AI AWS Lead Developer is a senior engineering role responsible for leading the design, development, and deployment of autonomous AI agents on the Amazon Web Services (AWS) cloud platform. This role combines strong software engineering practices, deep AWS expertise, and specialized knowledge of agentic AI frameworks to create scalable, reliable, and secure AI solutions.
Key Responsibilities Lead AI Development: Drive the strategic direction and technical implementation of agentic AI projects, from concept through deployment.
Architecture & Design: Architect and implement scalable, high-performance, and secure AI/ML infrastructures and application stacks on AWS. This includes designing agent roles, memory systems, and inter-agent communication protocols.
AWS Integration: Develop innovative solutions using a wide range of AWS services, such as ECS, EC2, S3, Lambda, DynamoDB, API Gateway, and Amazon Bedrock, ensuring seamless integration into existing systems Coding & Quality Assurance: Write and review high-quality, production-ready code, primarily in languages like Python or Java/Node.js. Ensure adherence to best practices and coding standards.
Collaboration & Mentorship: Work closely with business stakeholders, product managers, data scientists, and engineering teams to understand requirements and deliver valuable solutions. Mentor junior engineers and foster a culture of continuous learning.
Innovation & R&D: Stay ahead of industry trends in agentic AI and generative AI technologies, evaluating new methodologies and tools (e.g., LangChain, PyTorch) to enhance AI capabilities and solve complex business problems.
Required Qualifications & Skills Experience: Proven experience in a senior or lead engineering role, with substantial applied experience in software development (typically 5+ years).
AWS Expertise: Deep understanding of core AWS services and cloud-native application design, including infrastructure-as-code tools like Terraform or CloudFormation. Programming Languages: Strong proficiency in Python, Java, or Node.js.
AI/ML Knowledge: Experience with Agentic AI technologies, LLMs, machine learning algorithms, and relevant libraries/tools (e.g., LangChain, PyTorch, scikit-learn).
Methodologies: Advanced understanding of Agile methodologies, DevOps practices, CI/CD pipelines, and application security principles.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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