Sr. Solutions Architect, AI Solutions
Role Overview
The Sr.
Solutions Architect, AI Solutions is a hands-on technical presales role in Trace3’s Data & Analytics AI Solutions practice.
Reporting to the Practice Director, AI Solutions, the Sr.
Solutions Architect designs and defends the AI solutions Trace3 puts in front of clients before a statement of work exists.
The role is presales only and does not carry delivery execution.
The work centers on AI from a data and analytics perspective: connecting a client’s data estate to real business decisions, and moving agentic workflows from pilot into production.
The Sr.
Solutions Architect runs discovery, designs the architecture, proves it with working prototypes when a pursuit calls for one, and writes the technical content that becomes the scope.
Each design draws on Data Platforms for the estate, AI Platforms for compute and runtime, and Security for the guardrails, and has to hold up in front of engineers and executives alike.
The role is measured on the quality of the architectures it produces and on their commercial result: pursuits won, scope that delivery can execute without rework, and advisory work that grows into full-stack programs.
Key Skills for This Role
Full Job Posting
REQUIRED SKILLS AND EXPERIENCE:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.
- 7+ years in technology, including 4+ years designing or building AI, machine learning, or data solutions.
- 2+ years in technical presales, solutions architecture, or consulting with responsibility for the technical decision on client pursuits.
- Hands-on proficiency in Python, modern AI and ML frameworks, LLM application development, retrieval architectures, and agent orchestration frameworks. This role builds working prototypes as well as slides.
- Working experience with at least one major cloud AI stack (Azure AI Foundry, AWS Bedrock, Google Vertex AI) and at least one modern data platform (Databricks, Snowflake, Microsoft Fabric).
- Practical experience with model evaluation, cost and performance tradeoffs, and running AI systems in production.
- Working knowledge of AI security and governance, including NIST AI RMF, data protection, and the controls enterprises require before approving production use.
- Ability to lead technical conversations with executives and engineers, including the confidence to disagree with a client and keep the relationship.
- Excellent written and verbal communication, with the ability to explain AI architecture to technical and non-technical audiences.
- Highly organized and able to run several concurrent pursuits in a fast-paced environment.
- Willingness to travel, approximately 30 to 50 percent depending on region and pursuit load.
PREFERRED QUALIFICATIONS:
- Experience in a consulting, advisory, or solutions firm where technical design drives commercial scope.
- Certifications across cloud AI, data platform, or ML engineering disciplines.
- Industry depth in one or more of healthcare, financial services, public sector, or manufacturing.
- A visible body of applied AI work, such as published writing, open source contributions, or conference talks.
- Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
- Estimated Pay Range
- $190,000 — $200,000 USD
- The Perks
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
- Competitive Compensation
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance and generous paid time off
- Our Commitment
- At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do.
- We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture.
- As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law.
- Any demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all.
- If you require a reasonable accommodation to complete the application process or participate in an interview, please email [email protected].
- To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.
About Trace3
Private IT consulting provider serving enterprise and commercial organizations with AI, cloud, data, and cybersecurity services.
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