Senior Solution Architect (Agentic AI & Cloud Solutions)

8 - 12 years

0 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Responsibilities

- Lead architecture design for agentic AI systems leveraging AWS services (Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB).
- Define multi-agent orchestration strategies for clinical data workflows, source verification, and discrepancy resolution.- Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures.- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred- Mentor AI engineers, developers, and DevOps teams on agent-based architectures.- Collaborate with clinical SMEs, compliance teams, and sponsors to align technical design with business outcomes.

Qualifications

- Bachelor’s/Master’s in Computer Science, AI, or related field (PhD a plus).
- 8–12 years in AI/ML engineering with 3–5 years in cloud-native AI architecture.- Hands-on experience with AWS AI stack (Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex).- Strong understanding of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).- Proven expertise in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.- Experience in healthcare/Life Sciences AI solutions with regulatory compliance.- Strong leadership, stakeholder communication, and solution governance skills.

Job Types: Full-time, Permanent

Benefits:

  • Flexible schedule
  • Health insurance
  • Provident Fund
  • Work from home

Application Question(s):

  • Do you have hands-on expertise in AWS architecture (VPC, ECS, EKS, API Gateway, Lambda, Bedrock, SageMaker)?

Experience:

  • Solution architecture: 8 years (Required)

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