Lead AI Solutions Architect

Job Title: Lead AI Solutions Architect

Location: Newton, Massachusetts (Hybrid)
Duration: 6 months +

Key Responsibilities

·            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.

Required Qualifications

·            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.