Agentic Ai, AI & Data Manager

Manager role focused on leading and delivering Agentic AI solutions for clients, involving design, development, and operation of AI platforms and products. Requires strong experience in Generative AI, multi-agent systems, Python, and cloud-based AI services (Azure, AWS, GCP). Emphasis on client-facing delivery, team management, and business development.

What you'd actually do

  1. You will lead and deliver engagements, or components of large, complex engagements.
  2. These projects identify, design, and implement creative business and technology solutions for clients.
  3. Using direct management and hands-on delivery, you will craft solutions for clients.
  4. You will guide and oversee your team’s deliverables and recommendations.
  5. You will also manage daily stakeholder relationships.

Skills

Required

  • Python
  • Generative AI
  • Agentic AI
  • multi-agent systems
  • agent orchestration
  • tool integration
  • autonomous decision-making workflows
  • Azure AI Foundry
  • OpenAI Service
  • Cognitive Search & Vector DBs
  • Cognitive Services
  • Entra ID & Key Vault
  • Amazon Bedrock
  • Knowledge bases
  • Guardrails
  • Prompt Flows
  • RAG pipelines
  • Lambda, ECR and EC2 based deployment
  • Amazon Q Business & Q Developer
  • Cognito
  • IAM, Secrets Manager, and KMS
  • Vertex AI
  • Gemini API and Google AI Studio
  • BigQuery
  • Cloud Run, Cloud Functions, and GKE
  • leading, managing and delivering complex AI Solutions engagements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field

Nice to have

  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills
  • Demonstrated experience with the sales cycle
  • Participated in the pursuit team by creating proposal content
  • Experience building multi-agent systems
  • task delegation
  • coordination
  • autonomous decision-making
  • Azure AI Engineer Associate
  • Azure Solutions Architect Expert
  • AWS Certified Machine Learning - Specialty
  • AWS Certified Solutions Architect – Professional
  • Professional Machine Learning Engineer
  • Professional Cloud Architect
  • LLM prom

What the JD emphasized

  • 6+ years of experience delivering AI/ML solutions
  • 2 year focused on Generative AI, Agentic AI or multi-agent systems
  • 4+ years of hands-on experience building AI/ML solutions using Python
  • 2+ years of direct experience developing agentic AI systems
  • agent orchestration
  • tool integration
  • autonomous decision-making workflows

Other signals

  • leading and delivering engagements
  • design and implement creative business and technology solutions
  • craft solutions for clients
  • guide and oversee team's deliverables
  • manage daily stakeholder relationships
  • business development activities
  • developing and presenting proposals
  • developing junior staff
  • designing, developing, and operating advanced Data and AI platforms
  • innovate, enhance, and manage data, AI, and analytics capabilities
  • grow and scale effectively
  • 6+ years of experience delivering AI/ML solutions
  • 2 year focused on Generative AI, Agentic AI or multi-agent systems
  • 4+ years of hands-on experience building AI/ML solutions using Python
  • 2+ years of direct experience developing agentic AI systems
  • agent orchestration
  • tool integration
  • autonomous decision-making workflows
  • LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph
  • Azure: AI Foundry
  • OpenAI Service
  • Cognitive Search & Vector DBs
  • Cognitive Services
  • Entra ID & Key Vault
  • AWS: Amazon Bedrock
  • Knowledge bases
  • Guardrails
  • Prompt Flows
  • RAG pipelines
  • Lambda, ECR and EC2 based deployment
  • Amazon Q Business & Q Developer
  • Cognito
  • IAM, Secrets Manager, and KMS
  • GCP: Vertex AI
  • Gemini API and Google AI Studio
  • BigQuery
  • Cloud Run, Cloud Functions, and GKE
  • 1+ years experience leading, managing and delivering complex AI Solutions engagements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field
  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills
  • Demonstrated experience with the sales cycle
  • Participated in the pursuit team by creating proposal content
  • Experience building multi-agent systems
  • task delegation
  • coordination
  • autonomous decision-making
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect – Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prom