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# Lead AI Solutions Architect

- **Company:** Perfict Global, Inc.
- **Location:** Newton, MA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Software Applications, Application Performance Management, Business Software, Cloud Computing, Software Quality, Computer Programming, Databases, Continuous Integration, DevOps, Programming Tools, Distributed Systems, Django Web Framework, Python (Programming Language), Performance Tuning, OpenAI, Software Deployment, Software Engineering, TypeScript, Enterprise Software Applications, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Software Security, Reliability of Systems, AI Coding Agents, Fastapi, Infrastructure Automation Frameworks, Front End Software Development, Virtual Agents, Api Design, Model Context Protocol, Semantic Kernel
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/257debe4-d535-48d0-a767-c38e2fe67267

## About the Role

· 12+ years of professional software development experience, including significant responsibility for enterprise application architecture and delivery..

· Hands-on experience designing and implementing AI-powered applications using LLMs, OpenAI, Anthropic, LangChain, Semantic Kernel, RAG, vector databases, or AI agent frameworks.

· Familiarity with Model Context Protocol (MCP), agent orchestration, and intelligent workflow automation.

· Advanced programming expertise in Python with practical experience using frameworks such as FastAPI, Django, or equivalent technologies.

· Strong frontend development background with React.js and TypeScript

· Experience incorporating AI coding assistants and AI-enabled development tools into engineering workflows.

· Strong understanding of distributed architectures, API development, database technologies, cloud infrastructure, CI/CD, DevOps, and infrastructure as code.

· Knowledge of application security, system reliability, performance optimization, and enterprise software design principles.

· Experience leading technical initiatives involving multiple engineering teams and cross-functional business stakeholders.

· Excellent communication and presentation skills, including the ability to interact with executive management and senior business leaders.

· Proven ability to translate business requirements into technical roadmaps and scalable software solutions.

· Previous experience mentoring developers and providing technical guidance at an organizational level.

Preferred Experience

· Background working with financial technology platforms, investment applications, financial planning, forecasting, or capital management systems.

· Experience modernizing enterprise business applications and automating complex operational processes.

· Exposure to renewable energy, infrastructure financing, or large-scale investment environments.

· Demonstrated success introducing AI-driven engineering practices to improve software delivery speed, quality, and overall productivity.

## Description

· Provide technical direction and architectural guidance for strategic software development initiatives across the organization.

· Design, develop, and enhance enterprise applications using Python, TypeScript, React, and cloud-based technologies.

· Integrate AI-powered engineering solutions, coding assistants, LLM platforms, and autonomous agent workflows into software development processes.

· Collaborate with finance, investment, and operational teams to improve business applications supporting financial analysis, forecasting, and investment activities.

· Define and implement software engineering standards, reusable architectural frameworks, and development best practices.

· Oversee the complete software development lifecycle, from initial requirements and solution design through implementation and production deployment.

· Identify opportunities to apply artificial intelligence and intelligent automation to simplify business processes and improve operational efficiency.

· Guide engineering teams on technical decisions, code quality, application performance, security, and system scalability.

· Work with senior business and technology leaders to establish priorities and align engineering initiatives with organizational objectives.

· Support the professional development of engineering teams through technical mentoring, knowledge sharing, and architectural leadership.