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Solution Architect – Applied AI Practice, Pre-Sales
Bryant Park ConsultingSolution Architect driving sales cycle for Applied AI practice at Bryant Park Consulting. Leading technical discovery and translating operational pain points into agent architectures.
Posted 7/17/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in pre-sales and solution architecture, with a strong focus on LLM-based applications, enterprise integration, and client relationship management. Capable of translating complex technical concepts for diverse audiences while effectively scoping and estimating technical engagements.
Highest-signal resume keywords
Pre-Sales ExperienceSolution ArchitectureLLM-Based ApplicationsEnterprise IntegrationClient Relationship Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model APIsPrompt EngineeringContext EngineeringTool/Function CallingAPI IntegrationMiddleware/iPaaSEvent-Driven PatternsERP SystemsCRM SystemsData Platforms
Soft Skills
Excellent CommunicationPresentation SkillsRelationship BuildingNegotiation SkillsAdaptability
Tools & Technologies
AnthropicOpenAISAPOracleMicrosoft DynamicsNetSuiteServiceNowSnowflakeDatabricks
Industry Keywords
AI Agent LandscapeTechnical ConsultingEnterprise ClientsSales CycleEngagement Structure
Tech Stack
Tools & technologiesERPITSMOracleServiceNow
About the role
Key responsibilities & impact- Source and develop opportunities — within existing BPC accounts, through partner channels, and via your own network — and lead the sales cycle end to end, from first conversation through signed engagement.
- Build and maintain relationships with referral channels: Anthropic and other AI vendor sales teams, centers of influence, and partner firms that refer new business to the practice.
- 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 from our pre-built agent fleet, workshops, technical deep dives, or proof-of-value scoping — matched to the client’s vertical and buying stage.
- 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 — agents, MCP, model selection, token economics — 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, and how production agents differ from the AI tools clients already use.
- On close, carry the vision into delivery: mobilize the assigned team to deliver what was positioned and sold, and stay engaged as engagement sponsor.
- 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.
Requirements
What you’ll need- 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 — and how AI agents connect to systems of record.
- 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.
Benefits
Comp & perks- Comprehensive Benefits - We provide best-in-class benefits for employees including 401k with Company match up to 6%, United Health Plan, as well as Dental, Vision, Life Insurance and Accidental Death and Dismemberment, and more. We also encourage and reimburse for costs of approved training, continuing education, skills development, and professional certification programs and exams to help further your career development.
- Feed Your Curiosity - Foster technical and industry expertise, and grow as a leader. Knowledge management and professional development are held in highest regard, we offer and sponsor flexible learning options on topics from Project Management to Web Development, and we pay for certifications with top programs.
- Cultivate Well Being - Thrive holistically with a robust and personalized set of benefits and company resources to support your emotional, mental, financial, physical, and social well-being. Celebrate with your team or explore interests with other team members, from book clubs to speaking events and annual retreats.
- Choose Your Career - There is no pressure to go ‘up-or-out’ and welcome you to build a career that gets you excited about coming to work every day - whether that’s as an individual contributor or a team manager. Performance is evaluated fairly and regularly and as the organization grows we expect you and your career to grow with us.