Agentic Solution Architect

ABOUT THE ROLE We are looking for an Agentic Solution Architect who can set technical direction, guide engineering teams, partner with clients, turn ambiguous goals into scalable agentic solution patterns, and deliver production-ready autonomous systems in real client environments. SoftServe’s Autonomous Agentic Platform, Neo, represents the next evolution in software engineering: an ecosystem where agents orchestrate agents, workflows adapt dynamically, and guardrails enable reliable autonomy at scale. RESPONSIBILITIES Help shape the technical direction of a production-grade Autonomous Agentic Platform. Design and evolve reusable agentic engineering patterns, contracts, interfaces, workflows, and delivery slices for Agentic SDLC execution. Drive implementation strategy across agent workflows, MCP tools, context pipelines, orchestration patterns, and platform services. Partner with architects, product owners, and client stakeholders to turn vision into executable technical systems. Make high-impact technical decisions that balance speed, quality, scalability, reliability, and client delivery needs. Evolve engineering standards for code quality, testing, observability, documentation, operational readiness, and agentic workflow governance. Mentor technical leads and engineers by clarifying architecture, resolving design questions, and raising the quality bar. Use metrics, benchmarking, and validation evidence to improve platform reliability, agent performance, and delivery quality. Build practical processes and tooling that help teams execute agentic engineering at scale. Contribute to Neo’s technical voice through papers, conference talks, client-facing thought leadership, and reusable internal enablement for agentic engineering. REQUIREMENTS A systems thinker with experience designing software architectures and translating complex requirements into scalable technical solutions. Hands-on experience across our core agentic engineering stack: Python and TypeScript/JavaScript; React and Node.js; REST/OpenAPI service contracts; MCP tool integration; vector databases, retrieval architectures, and knowledge graph concepts; cloud-native deployment patterns; CI/CD; observability; and automated testing. Experience with AI/ML engineering and LLM-based systems, including agentic workflows, retrieval and indexing strategies, context engineering, evaluation frameworks, model orchestration, and managing context, latency, cost, and quality tradeoffs. Fluent partnering with AI agents and agentic workflows as part of daily engineering execution. Grounded in architecture fundamentals such as microservices, C4 modeling, design patterns, and contract-first engineering, with the ability to apply those foundations to autonomous agentic systems. Able to turn business and technical goals into solution architecture, technical contracts, execution models, and implementation plans. Comfortable guiding engineers through complex technical decisions, implementation tradeoffs, and delivery risks. Evidence-driven in technical decision-making, using metrics, benchmarking, validation results, and system behavior to improve architecture and solution quality. A strong communicator who can align engineers, architects, product stakeholders, executives, and client teams around technical direction and delivery priorities. Motivated to explore emerging agentic engineering patterns and bring practical innovation to clients. ABOUT US SoftServe is a global IT consulting and digital services company where technology expertise grows alongside people. For more than 30 years, we have helped organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy, and manufacturing, with a pace that respects quality, sustainability, and the people behind the work. We stand out in the way we work together. You bring your perspective and ambition - we create the environment to shape solutions with clarity, confidence, and purpose. WHAT WE OFFER Flexible Work Model Work from home, from the office, or in a hybrid format that supports focus and collaboration. Compensation & Benefits Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities. People-first Leadership Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. This posting includes an anticipated salary range that SoftServe expects to offer for this position. The range provided reflects the base salary only. Final compensation within this range will be determined based on some factors, including, but not limited to: geographic location, relevant experience, education, certifications, skills, budget, and market conditions. The anticipated salary range for this role is $172,000 – $293,000 annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here. Please note that the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law. Show more Show less