Solution Architect | Pre-Sales

About Infinitive

Infinitive is a data & AI consultancy that enables global brands to deliver results through insights, innovation, and efficiency. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine six times, and has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.

About the Role Infinitive is seeking a dynamic Solution Architect with a strong blend of technical expertise, consultative selling skills, and business acumen to lead pre-sales and solutioning efforts across our Data & AI practice.

This role bridges the gap between business development and delivery — helping clients envision how modern data architectures, AI-driven platforms, and cloud-native integration frameworks can drive measurable business outcomes. You’ll collaborate with sales and account teams to shape opportunities, design solutions, and ensure seamless alignment between pre-sales commitments and project delivery.

Key Responsibilities

Pre-Sales Solutioning & Client Engagement

• Partner with sales and account teams to identify opportunities, define solution architectures, and develop compelling proposals for consulting engagements.
• Lead discovery sessions, assess client environments, and translate business needs into actionable Data & AI solution architectures and roadmaps.
• Deliver presentations, demos, and proofs of concept (POCs) that demonstrate Infinitive’s Data & AI capabilities.
• Collaborate with internal stakeholders to develop pricing models, statements of work (SOWs), and technical content for RFP responses
• Support the development, scoping, and sale of both Firm-Fixed Price (FFP) and Time & Material (T&M) consulting engagements.
• Build trusted advisor relationships with client executives, influencing data, AI, and technology strategy.

Architecture & Design Leadership

• Architect scalable, secure, and high-performance cloud-based Data & AI solutions in Azure, AWS and GCP utilizing Databricks, streaming and batch data pipelines, Spark, PySpark, Python and API frameworks, with a heavy emphasis on modernizing data engineering practices to enable analytical and machine learning usages.
• Design architectures spanning data lakehouses, warehouses, real-time analytics, and AI/ML integration.
• Ensure proposed solutions align with enterprise standards, data governance policies, and delivery capabilities.

Collaboration & Cross-Functional Leadership

• Act as a technical bridge between sales, delivery, and client architecture teams throughout the sales cycle.
• Support go-to-market strategy development by identifying repeatable Data & AI solution patterns and reusable delivery assets.
• Mentor and guide engineers and consultants on best practices for solution design, client engagement, and value articulation.

Innovation & Market Development

• Evaluate emerging technologies (AI/ML, GenAI, streaming analytics, data mesh, etc.) to evolve Infinitive’s Data & AI offerings.
• Contribute thought leadership, case studies, and webinars to reinforce Infinitive’s market credibility.
• Stay current on trends in data platforms, data engineering, zero-trust security, data governance, and AI ethics and compliance.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• 7+ years of combined experience in data architecture, AI/ML solutioning, system integration, or solution engineering roles.
• Proven experience selling or supporting the sale of consulting and professional services, including scoping, estimating, and solution shaping.
• Demonstrated success supporting pre-sales or technical sales cycles in a consulting, SaaS, or enterprise technology environment.
• Deep expertise with cloud platforms (AWS, Azure, GCP), Databricks, data modeling, Kafka, Spark, Python, SQL/NoSQL, and API-based integration.
• Strong understanding of event-driven architectures, microservices, data governance, and AI/ML frameworks.

Preferred Certifications

• Databricks Certified Data Engineer Associate or Professional.
• Databricks Certified Machine Learning Professional.
• TOGAF, ITIL, or SAFe Architect certification.
• Pre-Sales or Sales Engineering Accreditation (e.g., AWS Partner Ambassador, Google Cloud Sales Engineer, Databricks Sales Badges).

Soft Skills

• Exceptional communication and presentation skills with both technical and executive audiences.
• Ability to articulate business value and ROI for Data & AI consulting solutions.
• Strong collaboration and influence across sales, delivery, and executive stakeholders.
• Entrepreneurial mindset and enthusiasm for helping grow a high-performing Data & AI consulting practice.