AI Solution Consultant

dentsuChicago, IL
Hybrid

About The Position

This person will serve at the intersection of technical excellence and client partnership: delivering AI-powered solutions, helping clients understand what's possible, and shaping how our practice evolves as technology does.

Requirements

  • Proficiency in Python and experience building with LLM APIs (OpenAI, Anthropic, etc.)
  • Hands-on experience with agentic frameworks
  • Comfort working across the full development lifecycle: scoping, building, testing, deploying, and iterating
  • Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern deployment practices
  • Ability to present ideas clearly to both technical and non-technical audiences
  • Strong written communication
  • Comfortable with ambiguity: you can structure a fuzzy problem, propose a direction, and build toward it
  • Client empathy — you listen before you prescribe and know when to push back constructively
  • Curiosity-driven: you follow what's new in AI not because you have to, but because you genuinely want to know
  • Ownership mentality: you treat client problems like your own and see things through
  • Collaborative: you make the people around you better and enjoy figuring things out as a team
  • Adaptable: you're comfortable operating at different altitudes — strategic thinking one day, hands-on debugging the next

Responsibilities

  • Partner with clients to understand their business processes, pain points, and strategic goals — translating those into actionable AI solution designs.
  • Support discovery sessions, workshops, and working sessions with stakeholders at varying levels of technical fluency.
  • Communicate AI capabilities and limitations clearly, helping clients set realistic expectations and build confidence in new approaches.
  • Become a trusted advisor — not just a vendor — for the clients you work with.
  • Build and deploy AI solutions across internal tooling and client-facing projects, from MVPs to production-grade systems.
  • Architect and implement agentic workflows — designing systems where AI models reason, plan, and act autonomously or semi-autonomously across multi-step tasks.
  • Identify opportunities to augment or replace manual processes with intelligent automation, including LLM pipelines, RAG systems, tool-use agents, and orchestration layers.
  • Iterate on existing solutions based on usage data, client feedback, and the evolving capabilities of the underlying models.
  • Stay at the leading edge of AI research and tooling — evaluating new models, frameworks, and paradigms as they emerge, in compliance with Merkle standards.
  • Translate emerging capabilities into concrete recommendations for clients and internal teams: what's ready now, what's worth watching, and what's overhyped.
  • Contribute to internal knowledge-sharing, documentation, and the development of reusable patterns and accelerators.

Benefits

  • Medical, vision, and dental insurance
  • Life insurance
  • Short-term and long-term disability insurance
  • 401k
  • Flexible paid time off
  • At least 15 paid holidays per year
  • Paid sick and safe leave
  • Paid parental leave
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