Chief AI Strategist

2 days ago

Varanasi, Uttar Pradesh, India beBeeArtificialIntelligence Full time US$ 15,00,000 - US$ 20,00,000
Artificial Intelligence Architect Job Description

About the Company: We are a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. Our global presence spans four continents, with 15 offices (and 10 delivery centers) across various regions.

About the Role: We are seeking an experienced AI Architect to lead the design and implementation of agentic AI systems within AWS. This role will focus on multi-agent orchestration, cloud-native AI architecture, and healthcare-compliant AI solutions, enabling trusted, scalable, and intelligent data workflows.

Responsibilities:

  • Agentic AI System Design: Architect and design agentic AI systems using AWS services like Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, DynamoDB.
  • Multi-Agent Orchestration: Define multi-agent orchestration strategies for clinical data workflows, source verification, discrepancy detection, and intelligent query generation.
  • Hybrid AI Architectures: Evaluate trade-offs between LLM-based reasoning, rules engines, and hybrid AI architectures to drive efficiency and compliance.
  • Agent-Based Designs: Build and integrate solutions using agentic AI frameworks like LangChain, LlamaIndex, Haystack, CrewAI, AutoGen.
  • Mentorship: Mentor and guide AI engineers, developers, and DevOps teams on agent-based designs and scalable ML workflows.
  • Partnership: Partner with clinical SMEs, compliance teams, and sponsors to ensure technical solutions align with business outcomes and regulatory standards.

Qualifications:

  • Education: Bachelor's/Master's in Computer Science, AI, or related field (PhD a plus).
  • Experience: 8–12 years in AI/ML engineering, with 3–5 years in cloud-native AI architecture.
  • AWS Expertise: Proven expertise with AWS AI stack: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, Lex.
  • Agentic AI Frameworks: Strong knowledge of agentic AI frameworks (LangChain, LlamaIndex, Haystack, CrewAI, AutoGen).
  • Workflow Orchestration: Hands-on experience in workflow orchestration (Step Functions, Airflow, Temporal) and multi-agent pipelines.
  • Healthcare Compliance: Background in healthcare/life sciences AI solutions with understanding of regulatory compliance (HIPAA, GxP, FDA/EMA guidelines preferred).
  • Leadership Skills: Excellent leadership, stakeholder management, and solution governance skills.

Required Skills:

  • AWS AI Services: Expertise in AWS AI services.
  • Agentic AI Frameworks: Experience in agentic AI frameworks.
  • Leadership Skills: Strong leadership and mentoring abilities.

Preferred Skills:

  • Advanced Education: PhD in a relevant field.
  • Healthcare AI Solutions: Experience in healthcare AI solutions.
  • Regulatory Compliance: Knowledge of regulatory compliance.

Benefits:

  • Competitive Compensation: Competitive compensation package.
  • Learning Opportunities: Opportunities for career advancement and skill development.
  • Global Exposure: Global exposure and work environment.

Equal Opportunity Statement: We are committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals without regard to gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

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