What are the responsibilities and job description for the Lead Software Architect – AI Operating Systems & Enterprise Automation position at One Algorithm?
One Algorithm is a certified EDWOSB technology company building a proprietary AI-powered operating system designed to automate and integrate the core functions of a modern federal contractor and technology organization.
Our platform will serve as the operational backbone of the business, managing opportunity identification, Go/No-Go decision support, capture management, proposal development, compliance operations, contract administration, partner lifecycle management, project delivery, financial operations, organizational knowledge management, and executive decision support.
A key component of this platform is the development of a secure, voice-first AI operating environment capable of interacting with employees, leadership, partners, and enterprise systems through natural language.
The platform combines conversational AI, enterprise knowledge retrieval, organizational memory, workflow orchestration, business intelligence, and operational automation into a unified operating environment.
Our long-term strategy prioritizes locally controlled and self-managed AI infrastructure wherever practical to maximize security, data sovereignty, organizational knowledge retention, compliance, and operational efficiency.
This is not a traditional Full Stack Developer position.
We are seeking a hands-on technical leader who can translate complex business operations into secure, scalable, and intelligent software systems while helping define the future technical direction of the company.
Core MissionDesign and build an AI-powered enterprise operating system capable of:
- Automating solicitation intake and opportunity analysis
- Supporting Go/No-Go decision-making and capture management
- Managing proposal development and compliance workflows
- Automating contract lifecycle management
- Supporting partner relationship management and business development
- Managing project delivery and operational execution
- Supporting financial operations and reporting
- Maintaining organizational knowledge and institutional memory
- Delivering executive intelligence and business insights
- Providing employees with a secure voice-first AI assistant capable of executing workflows and retrieving organizational knowledge
- Own the technical roadmap and architecture of One Algorithm's AI operating platform.
- Design modular, scalable, and maintainable systems that support long-term business growth.
- Establish architectural standards, engineering best practices, and platform governance.
- Design and implement production-grade AI systems utilizing LLMs, RAG architectures, vector databases, workflow orchestration, and agentic frameworks.
- Develop AI agents that automate business development, capture management, proposal development, compliance analysis, contract administration, knowledge retrieval, and operational workflows.
- Build governance frameworks for validation, auditing, monitoring, and human-in-the-loop review.
- Design and implement secure voice-enabled AI experiences for employees, leadership, and operational workflows.
- Architect conversational systems capable of interacting with enterprise applications, organizational knowledge, and business processes.
- Develop scalable frameworks for multimodal interaction across voice, chat, documents, and enterprise systems.
- Design enterprise knowledge management systems utilizing Retrieval-Augmented Generation (RAG), semantic search, vector databases, document intelligence, and organizational knowledge repositories.
- Architect short-term and long-term contextual memory systems that enable AI agents to securely leverage company knowledge, historical decisions, contracts, proposals, compliance artifacts, policies, and operational data.
- Develop secure retrieval frameworks that maintain access controls, auditability, and governance requirements.
- Architect and integrate systems supporting CRM, pipeline management, capture management, proposal operations, contract lifecycle management, project management, financial operations, employee lifecycle management, knowledge management, and executive decision support.
- Develop AI-assisted Go/No-Go decision frameworks that evaluate strategic alignment, contract eligibility, compliance risk, resource availability, teaming requirements, competitive positioning, and probability of win.
- Build systems that automate solicitation analysis, requirement extraction, compliance matrix generation, partner identification, capability matching, and proposal planning.
- Create executive dashboards that provide visibility into pipeline health, proposal status, compliance posture, operational performance, contract opportunities, and financial metrics.
- Replace manual workflows with secure, auditable, and scalable automation solutions.
- Design systems capable of supporting federal compliance requirements including NIST 800-171, NIST 800-53, CMMC, RMF, FedRAMP, and secure handling of Controlled Unclassified Information (CUI).
- Implement secure development practices, audit logging, encryption strategies, access controls, and compliance-focused architecture.
- Ensure all AI systems meet governance, security, and regulatory requirements.
- Architect and manage cloud-native infrastructure within AWS and/or Azure environments.
- Design CI/CD pipelines, containerized deployments, monitoring solutions, observability platforms, and operational resilience strategies.
- Support secure deployment models including local, hybrid, air-gapped, and government-focused environments.
- Define engineering standards, architecture governance, and security requirements.
- Mentor engineers and contribute to building a high-performance technical culture.
- Partner directly with leadership to align technology investments with business objectives.
- 8 years of professional software engineering experience (10 years preferred).
- Demonstrated experience designing, building, and operating enterprise-scale software systems.
- Strong foundation in software architecture, distributed systems, databases, APIs, and cloud-native development.
- Experience owning systems from architecture through deployment, operations, incident response, and continuous improvement.
- Proven experience designing and deploying production AI systems.
- Expertise with LLM integration, orchestration frameworks, Retrieval-Augmented Generation (RAG), vector databases, and multi-agent architectures.
- Experience designing enterprise knowledge management systems, semantic search platforms, document intelligence solutions, and agent memory architectures.
- Strong understanding of context management, memory strategies, hallucination mitigation, AI evaluation, governance, and retrieval optimization.
- Experience building workflow automation systems supporting complex business operations.
- Experience with CRM platforms, capture management, proposal operations, project management, contract lifecycle management, business intelligence, or enterprise operational systems.
- Experience automating processes involving compliance, contracts, finance, proposals, legal workflows, business development, or organizational operations.
- Experience developing systems for regulated, government, defense, or compliance-driven environments.
- Knowledge of NIST 800-171, NIST 800-53, CMMC, RMF, FedRAMP, and secure handling of sensitive information.
- Experience implementing secure software development practices and compliance-focused system architectures.
- Hands-on experience with AWS and/or Azure.
- Strong Linux administration skills.
- Experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, monitoring, and observability platforms.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Experience mentoring engineers and establishing engineering standards.
- Comfortable operating in a fast-moving environment where architecture decisions directly influence company growth and operational efficiency.
Compensation will be structured based on experience, level of involvement, and overall contribution to the company's growth.
Opportunities may include:
- Base compensation
- Performance-based incentives
- Contract award and project success bonuses
- Revenue participation opportunities
- Leadership advancement opportunities
- Long-term growth participation for exceptional candidates
Compensation details will be discussed with qualified candidates during the interview process.
Location RequirementThis role is based in Downingtown, Pennsylvania.
Selected candidates will participate in an in-person technical architecture assessment and leadership discussion. Candidates should be prepared to discuss systems they have personally designed, implemented, secured, deployed, and supported in production environments.