Agentic AI, AI & Data Senior Consultant

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Company Overview
A leading global AI and engineering consultancy empowers clients to transform technology platforms, drive innovation, and optimize mission-critical operations. The firm delivers integrated AI, data, software, network, and hybrid cloud solutions, helping organizations modernize operations, accelerate digital ventures, and achieve measurable business outcomes. The team combines advanced engineering capabilities with industry expertise to create tailored, scalable solutions for enterprise clients.

Summary
The Senior Consultant will deliver AI and data solutions for clients by applying technical expertise, functional knowledge, and project management skills. This role focuses on designing, implementing, and managing agentic AI systems, multi-agent frameworks, and advanced analytics projects that drive significant business impact. The position requires collaboration with executive clients, stakeholders, and cross-functional teams to translate business problems into AI-enabled solutions.

Responsibilities

• Manage day-to-day interactions with executive clients, sponsors, and stakeholders
• Lead client engagements for technology and business solution design, implementation, and delivery
• Oversee small teams to capture business requirements, design functional and process workflows, prototype, test, and define support procedures
• Develop project scope, schedule, and assign resources to deliverables
• Monitor project progress, identify variances, and implement corrective actions
• Manage changes to project scope, schedule, and costs per the change management plan
• Identify high-level risks, assumptions, and constraints; implement approved mitigations
• Maintain effective communication with key stakeholders and decision-makers
• Translate business problems into AI/ML solutions with measurable outcomes
• Deliver agile and traditional project methodologies to ensure high-quality results

Qualifications

Required:

• 4+ years delivering AI/ML solutions, including 1+ years in Generative or Agentic AI systems
• 2+ years hands-on experience with Python for AI/ML development
• 1+ years developing agentic AI workflows, agent orchestration, tool integration, and autonomous decision-making (e.g., LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, LangGraph)
• Experience with cloud AI platforms:
  • Azure: AI Foundry, OpenAI Service, Cognitive Search & Vector DBs, Cognitive Services, Entra ID & Key Vault
  • AWS: Amazon Bedrock, Lambda, EC2, ECR, Cognito, IAM, KMS, Knowledge bases, Guardrails, Prompt Flows, RAG pipelines
  • GCP: Vertex AI, Gemini API, Google AI Studio, BigQuery, Cloud Run, Cloud Functions, GKE
• 1+ years leading project workstreams, translating business problems into AI solutions
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
• Willingness to travel up to 50% based on client engagements
• Limited immigration sponsorship may be available

Preferred:

• Prior consulting experience in client-facing delivery roles
• Experience building multi-agent systems (task delegation, coordination, autonomous decision-making)
• Strong presentation skills for large and small audiences
• Experience creating workshop materials and client-facing deliverables
• Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert, AWS Certified ML Specialty, AWS Solutions Architect Professional, Professional ML Engineer, Professional Cloud Architect
• Expertise in LLM prompt engineering, fine-tuning, and RAG architecture
• Experience in MLOps/AIOps, CI/CD pipelines, and cloud-native application development

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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