AI Architect

SoftServe; Mexico; On-site; PHP 7,481,000 - 11,222,000; Full time

Job summary

SoftServe is seeking a senior leader to shape and scale the Autonomous Agentic Platform (Neo). You will drive architectural patterns, SDLC workflows, and platform services across agent workflows and MCP integrations. Work with architects, product owners, and clients to translate vision into reliable, scalable systems.

You will guide engineering standards, mentor leads, and use metrics to improve reliability and delivery quality, while advancing Neo through external papers and internal enablement.

Qualifications

• 10+ years of experience designing, building, and scaling complex software platforms, including AI-centric distributed or autonomous systems.
• Strong hands-on expertise with Python, TypeScript/JavaScript, React, Node.js, REST/OpenAPI service contracts, cloud-native deployment patterns, CI/CD, observability, and automated testing.
• Advanced AI/ML engineering experience with LLM-based systems, including agentic workflows, retrieval/indexing strategies, and token-budget management.
• Strong understanding of microservices, design patterns, and contract-first engineering for scalable autonomous agentic systems.
• Experience leading engineers and cross-functional teams through complex technical decisions and delivery risks.
• Evidence-driven leadership using metrics and validation results to improve reliability and execution.

Responsibilities

• Shape the technical direction of a production-grade Autonomous Agentic Platform.
• Define reusable agentic engineering patterns, contracts, interfaces, workflows, and delivery slices for Agentic SDLC execution.
• Lead implementation strategy across agent workflows, MCP tools, context pipelines, and platform services.
• Partner with architects, product owners, and client stakeholders to turn vision into executable technical systems.
• Make high-impact technical decisions balancing speed, quality, scalability, reliability, and client delivery needs.
• Establish engineering standards for code quality, testing, observability, documentation, and operational readiness.
• Mentor technical leads and engineers by clarifying architecture and raising the quality bar.
• Use metrics and validation to improve platform reliability and delivery quality.
• Build practical processes and tooling to enable agentic engineering at scale.
• Advance Neo's technical voice through papers and client-facing enablement.

Skills

Python

TypeScript/JavaScript

React

Node.js

REST/OpenAPI

MCP integration

Cloud-native

CI/CD

Observability

Automated testing

LLM engineering

Context engineering

Token budget management

Microservices

Contract-first engineering

Architecture patterns

Leadership

Metrics & benchmarking

Job description

About The Role

In this role, you will work with SoftServe's Autonomous Agentic Platform, Neo, which represents the next evolution in software engineering: an ecosystem where agents orchestrate agents, workflows adapt dynamically, and guardrails enable reliable autonomy at scale. You will translate ambiguous business and technical requirements into scalable solution architectures, engineering standards, execution models, technical contracts, and delivery-ready implementation approaches.

Responsibilities

• Shape the technical direction of a production-grade Autonomous Agentic Platform
• Define reusable agentic engineering patterns, contracts, interfaces, workflows, and delivery slices for Agentic SDLC execution
• Lead 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
• Establish 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

Advance Neo's technical voice through papers, conference talks, client-facing thought leadership, and reusable internal enablement for agentic engineering

Requirements

• 10+ years of experience designing, building, and scaling complex software platforms, including AI-centric distributed, event-driven, or autonomous systems
• Strong hands-on expertise with Python, TypeScript/JavaScript, React, Node.js, REST/OpenAPI service contracts, MCP integration, cloud-native deployment patterns, CI/CD, observability, and automated testing
• Advanced AI/ML engineering experience with LLM-based systems, including agentic workflows, retrieval and indexing strategies, context engineering, evaluation methodologies, and token-budget management
• Strong understanding of architecture fundamentals, including microservices, C4 modeling, design patterns, and contract-first engineering, with the skills to apply them to scalable autonomous agentic systems
• Experience leading engineers and cross-functional teams through complex technical decisions, implementation tradeoffs, delivery risks, and production-quality outcomes
• Strong evidence-driven approach to technical leadership using metrics, benchmarking, validation results, and operational insights to improve system reliability and engineering execution

This is a leadership role where you will drive impact in two main directions:

Leading People

Hire and onboard talent, build trust and inclusion, set clear priorities, coach growth, deliver results, and lead change aligned to our values.

Leading Business

Deliver client value through business understanding, market and financial insight, global collaboration, and continuous improvement.

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.