Job Title: Pre-Sales Solutions Architect – Artificial Intelligence

Location: Hybrid (Bedminster, NJ or Chicago, IL)

Job Type: Full-Time

About SDG Group

SDG Group is a global consulting firm specialized in Data & AI. We have practices across Business Analytics, Data Management, Advanced and Predictive Analytics, and Business Insights. We are committed to unlocking organizations’ potential by offering in-depth analytics expertise that empowers our clients to become successful data-driven enterprises. Our mission is to help clients define, design, and implement transformative AI technologies to gain a sustainable competitive advantage. We partner with leading technology companies and collaborate with SDG offices globally to drive innovative solutions that enable some of the world’s largest companies to improve decision-making processes and performance based on data.

Our Artificial Intelligence Practice is the engine of this transformation. SDG boasts a robust AI capability of experts, including Industry & Business Domain experts, Business Scientists, AI Architects & Engineers, AI R&D, and AI Compliance & Governance Experts. With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends, leveraging our strong alliances with major AI hyperscalers like Microsoft, Google, and AWS to remain a globally recognized leader in data and AI services.

Position Overview

This strategic technical role bridges the gap between our sales team and our AI Experts (AI Architecture & Data Science teams). As a Pre-Sales Solutions Architect, you will combine deep technical expertise in enterprise AI platforms and cloud architecture with excellent client-facing skills. Your main focus will be on helping potential clients understand, envision, and adopt the right AI solutions to fit their unique business needs, acting as their trusted technical advisor throughout the sales process.

Crucially, you will act as the translator between technical AI architecture and executive strategy — taking complex platform and solution concepts and turning them into compelling commercial value propositions for a C-suite audience. This is a client-facing role that requires periodic travel and on-site presence.

Key Responsibilities

• Client & Opportunity Engagement: Partner with clients and internal account teams to uncover AI priorities, business challenges, and strategic goals. Qualify opportunities, build trusted relationships with technical and executive stakeholders, and translate client needs into clearly defined AI use cases and solution approaches that demonstrate tangible business value.

• Solution Architecture & Design: Design and present enterprise AI solution architectures tailored to client needs — spanning AI platform selection, cloud infrastructure, and GenAI/agentic application patterns. Develop reference architectures, solution designs and methodologies that give clients a realistic and credible path from concept to production, ensuring designs prioritize governance, scalability, and integration with the broader data ecosystem.

• Sales Support & Deal Execution: Own the technical workstream of the AI sales cycle from initial discovery through to close. Prepare and deliver compelling technical and commercial proposals with a strong focus on ROI and business impact, respond to RFPs, lead solution demos, and serve as the primary AI technical point of reference — ensuring tight alignment between client needs and SDG’s capabilities.

• Portfolio & Business Development: Develop a strong command of SDG’s AI portfolio — including AI platform partnerships, GenAI accelerators, and industry-specific use cases — and apply that knowledge to identify expansion opportunities within existing accounts and support new logo pursuits. Contribute to the refinement of SDG’s AI value proposition and go-to-market positioning.

• Technology & Innovation: Stay current with the fast-moving AI and GenAI landscape — including emerging platforms, architectural patterns, and enterprise use cases. Contribute to SDG’s internal knowledge base, AI accelerators, and reusable assets through SDG iLabs and practice initiatives.

• Thought Leadership & Representation: Represent SDG at AI industry events, hyperscaler partner conferences, and client briefings. Build and maintain long-term relationships that reinforce SDG’s reputation as a trusted AI and data partner.

Qualifications

• Professional Experience: 7+ years of experience in AI/ML engineering, cloud architecture, technical consulting, or related fields, with a background that demonstrates hands-on delivery and technical depth.

• Pre-Sales Expertise: Experience in technical pre-sales, solution architecture, or client-facing advisory roles is preferred but not mandatory. Candidates coming from delivery or engineering backgrounds with strong communication skills and a commercial mindset are welcome.

• AI Architecture Knowledge: Solid understanding of enterprise AI solution design — including AI platform selection, cloud-based infrastructure, and GenAI/agentic application patterns. Comfortable speaking credibly to MLOps concepts and the pathway from PoC to production. You don’t need to have built everything yourself, but you must be able to architect it, scope it, and defend it in front of a technical audience.

• Technical Foundation: Hands-on familiarity with Snowflake, Databricks, and at least one hyperscaler AI platform is required: Azure AI Foundry, AWS SageMaker, or GCP Vertex AI. Broader hyperscaler exposure (Azure, AWS, GCP) is strongly preferred.

• Client-Facing & Communication Skills: Demonstrated ability to build trust and engage confidently with both technical teams and C-level executives. Comfortable leading solution presentations, running demos, and translating complex AI concepts into compelling business value propositions.

• GenAI & LLM Fluency: Working knowledge of LLMs, Generative AI applications, and agentic AI patterns in enterprise contexts. You don’t need to build models, but you must be able to evaluate them, scope them, and explain them credibly to both engineers and executives.

• Education: Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field. Equivalent practical experience will be considered.

Desired Skills & Experience

• Reference Architecture Design: Experience creating solution blueprints, architectural frameworks, or reusable technology accelerators that can be adapted across client engagements.

• Certifications: Cloud or AI architecture certifications are a strong plus.

• Global Collaboration: Experience working effectively across distributed teams and multiple geographies. Comfort navigating a global consulting environment where ideas and solutions are developed across borders.

What We Offer

• Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that provides opportunities for professional growth. We’ll create customized career plans that enable you to advance independently and in collaboration with your peers.

• Competitive Compensation: A competitive base salary, commission structure, and a 401(k) retirement plan with an employer match.

• Comprehensive Benefits: Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.

• Work-Life Balance: 3+ weeks of paid vacation, a flexible holiday schedule, and a results-oriented culture.

• Client Engagement: A hybrid work model anchored to our U.S. offices, with periodic travel and on-site client engagement expected as a core part of the role.

• Supportive Community: A welcoming, collaborative, and inclusive culture where you can truly be yourself, learn from exceptional professionals, and make a significant impact on the future of AI.

SDG Group is an equal opportunity employer. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, vendors, and candidates.