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.
