AI Advisory and Solutions Architect

15 hours ago


Charlotte, North Carolina, United States Coforge Full time $200,000 - $250,000 per year

Job Title:
AI Advisory and Solutions Architect

Skills:

Experience: 15+ Years

Location: Charlotte, NC

Job Type: Contract to Hire/ Full -Time

We at Coforge are looking for an AI Advisory and Solutions Architect with the following skills.

We are seeking a strategic and client-facing AI Advisory & Solutions Architect to lead enterprise-scale AI transformation engagements, design AI capability blueprints, and drive business growth through advisory-led consulting.

This role blends AI strategy, architecture, and executive advisory - helping clients evolve from foundational Machine Learning and Generative AI toward Agentic AI systems that deliver measurable business outcomes.

This is a strategic, client-facing role - not limited to technical delivery. You will advise C-suite leaders, architect scalable AI ecosystems, shape enterprise AI roadmaps, and drive adoption that balances innovation, risk, and long-term value creation.

Key Responsibilities :

AI Strategy & Advisory

  • Strategic Visioning:
    Define an enterprise AI vision and roadmap that aligns with business objectives, regulatory context, and innovation goals.
  • Capability Design:
    Develop AI capability blueprints and reference architecture, using industry frameworks and best practices.
  • Maturity & Roadmapping:
    Assess current AI maturity (process, tech, governance, talent), identify gaps, and design a prioritized transformation roadmap.
  • Business Value & Use Case Prioritization:
    Identify high-impact AI, Generative AI, and Agentic AI use cases aligned with business KPIs and ROI.
  • Governance & Risk:
    Establish AI operating models, governance, and policies for ethical, compliant, and responsible AI.
  • Technology Strategy:
    Advise on infrastructure, platforms, and tools for scalable AI development, deployment, and monitoring.
  • Executive Education:
    Evangelize and guide senior stakeholders on the implications of AI, Generative AI, and emerging Agentic systems.

Client Leadership & Engagement Management :

  • Relationship Ownership:
    Serve as the senior engagement lead and trusted advisor to client executives.
  • Stakeholder Communication:
    Translate complex AI concepts into business value narratives for diverse audiences.
  • Thought Leadership:
    Lead workshops, strategy sessions, and executive presentations to co-create AI strategies and blueprints.
  • Team Leadership:
    Build and mentor multidisciplinary AI teams (strategy, data science, engineering) and cultivate AI literacy across client organizations.

Solutioning, Sales Enablement & Growth

  • Growth Partner:
    Collaborate with business development teams to define and evolve AI go-to-market strategies.
  • Pre-Sales Leadership:
    Lead proposal creation, RFP responses, and executive presentations, shaping solution architectures and value propositions.
  • Consultative Selling:
    Identify opportunities for account expansion through new AI initiatives and partnerships.
  • Innovation Enablement:
    Bridge emerging AI technologies (LLMs, agents, multi-modal AI) into pragmatic enterprise use cases.

Required Qualifications :

  • Experience:
    15+ years in consulting, enterprise architecture, or AI strategy roles, including proven leadership in AI transformation programs.
  • AI Expertise:
    Deep understanding of ML, Generative AI, and emerging Agentic AI frameworks; experience delivering AI capabilities into production.
  • Strategic Leadership:
    Demonstrated success advising C-suite executives and connecting AI initiatives to business outcomes.
  • Solution Architecture:
    Strong command of AI operating models, architecture patterns, data and model governance, and MLOps frameworks.
  • Communication Excellence:
    Exceptional executive communication, storytelling, and presentation skills.

Preferred Qualifications :

  • Industry experience in
    financial services, insurance, or other regulated domains
    .
  • Familiarity with
    AI ethics, governance, and responsible AI
    frameworks.
  • Advanced degree (MBA, MS in AI/Data Science, or equivalent).
  • Track record of
    building and growing long-term client partnerships
    .

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