[Hiring] Solution Architect @Bryant Park Consulting

Role Description

Bryant Park Consulting is building an Applied AI practice — an AI delivery arm that designs, builds, and operates AI agents inside client systems. We are looking for a Solution Architect to own the sales cycle end-to-end:

• Sourcing and developing opportunities, leading discovery, scoping and sizing engagements, and translating operational pain points into credible agent architectures.
• You will be the technical expert and trusted advisor from first conversation through close.
• This role reports to the VP of Sales, with a dotted line to the Applied AI Practice Lead.
• As a pivotal driver of practice growth, carries sales and bookings targets and incentives.

Responsibilities

• Source and develop opportunities — within existing BPC accounts, through partner channels, and via your own network — and lead the sales cycle end to end.
• Build and maintain relationships with referral channels: Anthropic and other AI vendor sales teams, centers of influence, and partner firms.
• Lead technical discovery sessions with prospective clients to map their systems, data, and operational workflows to agent automation opportunities.
• Deliver the right pre-sales motion for each opportunity — demos, workshops, technical deep dives, or proof-of-value scoping.
• Scope and size engagements: map candidate agent initiatives to complexity bands, estimate work units, and recommend the right engagement structure and retainer tier.
• Design high-level agent architectures and solution blueprints — agent design, MCP connector approach, system integration points, security and access model, and observability.
• Collaborate with sales and Global Solution Architects to qualify opportunities and respond to RFPs.
• Draft proposals and statements of work — pricing, effort estimates, timeline, and phasing — then present to client stakeholders and negotiate scope, pricing, and redlines through to signature.
• Translate technical concepts into language that resonates with CFOs, CTOs, and operations leaders.
• Handle technical objections credibly: build-vs-buy, security and data access, infrastructure and model-choice concerns.
• On close, carry the vision into delivery: mobilize the assigned team to deliver what was positioned and sold.
• Develop long-lasting client relationships as a trusted advisor, positioning follow-on services as the account grows.
• Contribute to demo assets, sales collateral, and reusable solution patterns as the practice’s IP library grows.
• Stay current on the AI agent landscape — models, agent frameworks, MCP ecosystem, and enterprise AI governance trends.

Qualifications

• Bachelor’s or advanced degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• 4–7 years in a pre-sales, solution architecture, or technical consulting role with enterprise clients.
• Hands-on experience with LLM-based applications: model APIs (Anthropic, OpenAI, or similar), agent frameworks, prompt and context engineering, and tool/function calling.
• Strong understanding of enterprise integration — APIs, middleware/iPaaS, event-driven patterns.
• Experience with enterprise business systems across ERP (SAP, Oracle, Microsoft Dynamics, NetSuite), CRM, ITSM (ServiceNow), supply chain/WMS, or data platforms (Snowflake, Databricks).
• Proven ability to scope and estimate technical work and defend the estimate with clients.
• Excellent communication and presentation skills with both technical and executive audiences.
• Comfortable operating in an early-stage practice: ambiguity, speed, and building the playbook as you run it.

Bonus Points

• Experience with Model Context Protocol (MCP) or building production agent/connector integrations.
• Background in the NetSuite ecosystem or ERP consulting.
• Experience in a delivery role or a quota-carrying pre-sales role.
• Familiarity with AI governance, security review processes, and enterprise observability tooling.
• Vertical depth in manufacturing, distribution, consumer goods, or food & beverage.

Salary Range

$200,000 to $250,000. In accordance with the Colorado Equal Pay for Equal Work Act, the approximate annual base compensation range is listed above.

Benefits

• Best-in-class benefits including 401k with Company match up to 6%.
• United Health Plan, Dental, Vision, Life Insurance, and Accidental Death and Dismemberment.
• Encouragement and reimbursement for costs of approved training, continuing education, skills development, and professional certification programs.