senior aws solutions

1 week ago

Cochin, Kerala, India Aabasoft Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a highly skilled Senior AWS Solutions / AI Architect to lead the design and implementation of advanced agentic AI solutions within cloud environments, specifically leveraging AWS services. The ideal candidate will combine deep technical expertise in AI/ML, cloud-native architectures, and healthcare domain experience to deliver scalable, compliant, and innovative solutions that drive business outcomes.

Requirements
    • Architect and lead the design of agentic AI systems utilizing AWS services such as Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB.
  • Design and implement multi-agent orchestration frameworks for clinical data workflows, including source verification, discrepancy resolution, and data integration.
  • Evaluate architectural trade-offs between LLM-based reasoning, rules engines, and hybrid AI solutions to determine the best approach per use case.
  • Provide thought leadership in healthcare and Life Sciences AI solutions, ensuring compliance with relevant regulatory frameworks.
  • Mentor and guide AI engineers, developers, and DevOps teams on best practices for building agent-based architectures.
  • Collaborate closely with clinical Subject Matter Experts (SMEs), compliance teams, and project sponsors to ensure that technical solutions align with strategic business objectives.
What we Expect from you?
  • Strong problem-solving aptitude with an analytical mindset.
  • Effective communication skills, both written and verbal, especially when engaging with cross-functional teams.
  • Passion for cutting-edge AI technologies and cloud innovations.
What you've got?
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a strong advantage).
  • 8–12 years of industry experience in AI/ML engineering, including 3–5 years focused on cloud-native AI architecture and solution design.
  • Hands-on experience with AWS AI services: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, and Lex.
  • Strong knowledge of agentic AI frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, or AutoGen.
  • Proven expertise in workflow orchestration tools like AWS Step Functions, Apache Airflow, or Temporal.
  • Deep understanding of multi-agent pipeline design, data processing, and automation in regulated environments.
  • Demonstrated experience in delivering AI solutions for healthcare and Life Sciences domains, with a strong focus on regulatory compliance.
  • Excellent leadership skills, with the ability to influence stakeholders, provide technical governance, and deliver high-impact solutions.

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