Solution Architect (ADLC)

About the role

This senior individual contributor role is the primary technical authority in enterprise engagements, supporting global verticals and responsible for translating complex business challenges into compelling, credible solutions across Agentic AI and AI-Native SDLC for CxO and engineering stakeholders.

Responsibilities

• Lead technical discovery, solution design, and architectural validation across complex enterprise opportunities spanning DevOps, SRE, Cloud, and Agentic AI.
• Design and deliver executive-level solution architecture, presentations, live demonstrations, and proof-of-concept engagements that showcase Agentic AI and AI-Native SDLC solutions.
• Partner with account teams to develop win strategies, shape RFP responses, and craft technical narratives that differentiate against competitors.
• Architect end-to-end agentic AI solutions spanning LLM integration, RAG pipelines, multi-agent orchestration, and enterprise system connectivity.
• Advise enterprise customers on AI-Native SDLC transformation, including developer toolchain modernization, AI-assisted coding practices, and delivery pipeline redesign.
• Represent UST as a technical thought leader at industry events, customer briefings, and partner engagements across the US.
• Build and maintain deep relationships with technical and business stakeholders at strategic accounts, leveraging established US enterprise networks.
• Actively monitor the frontier AI landscape — model releases, agentic frameworks, regulation, and competitive tooling — and translate emerging trends into customer-relevant insights.
• Mentor and coach junior members of the team, contributing to practice development and knowledge sharing.
• Collaborate with product and engineering teams to feed field insights back into the roadmap.

Requirements

• 14–18 years of total technology experience, with at least 5 years in a pre-sales, solution engineering, or technical advisory role.
• 3+ years of hands-on experience designing and deploying Cloud, DevOps, and SRE solutions; delivering production Agentic AI or LLM-based solutions is highly advantageous.
• Proven track record supporting and closing enterprise deals of $1M+.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployment patterns.
• Strong understanding of AI-Native SDLC practices including AI-assisted coding, CI/CD integration, and developer toolchain modernization.
• Deep knowledge of LLM architectures, prompt engineering, RAG, vector databases, and multi-agent orchestration frameworks (LangChain, CrewAI, AutoGen, or equivalent).
• Hands-on proficiency in Python and/or TypeScript; comfortable writing and reviewing production-grade code in customer-facing settings.
• Demonstrated ability to engage and influence CxO and senior engineering audiences.
• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.

Qualifications

• Active presence in the AI community — publishing, speaking, or contributing to open-source agentic projects.
• Experience in a top-tier consulting firm, ISV, or hyperscaler pre-sales function with US enterprise market responsibility.
• Familiarity with US enterprise procurement cycles, compliance frameworks (SOC 2, FedRAMP), and AI regulatory developments (US Executive Orders on AI).
• Knowledge of responsible AI frameworks, AI governance, and emerging regulatory landscape.
• Experience with AI evaluation, benchmarking, and model selection for enterprise use cases.
• Relevant certifications in cloud platforms or AI/ML (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer).

Skills

• Solution architecture
• Cloud architecture
• DevOps
• Serverless architecture

Benefits

• Paid vacation
• Paid sick leave
• 10 paid holidays
• Short- and long-term disability benefits
• Medical, dental, and vision insurance
• Accidental death and disability insurance
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)

Pay

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Schedule

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty.