Lead Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the main technical advisor for customer interactions, fostering trusted relationships with executive leadership, technical stakeholders, and business owners.

• Facilitate technical discovery sessions, solution workshops, and architectural discussions to clarify customer objectives and implementation strategies.

• Convert business priorities into scalable software solutions enhanced by AI and technical roadmaps.

• Provide counsel to clients on strategies for AI adoption, solution architecture, governance, and operational readiness.

• Articulate complex technical ideas, trade-offs, and implementation risks to both technical and non-technical audiences.

• Assist in business development efforts through technical presentations, demonstrations, proof-of-concepts (POCs), proposals, and solution briefings.

• Direct cross-functional engineering teams responsible for delivering enterprise-level AI and software solutions.

• Offer technical guidance throughout the complete software development lifecycle, from architecture to deployment and ongoing support.

• Mentor engineering teams in creating secure, scalable, maintainable, and high-performing software systems.

• Oversee architecture reviews, design discussions, sprint planning, technical decision-making, and engineering governance.

• Establish engineering standards, development methodologies, quality metrics, and delivery processes across various engagements.

• Eliminate technical obstacles, manage delivery risks, and ensure effective execution across multiple projects or workstreams.

• Coach engineers through architectural guidance, code reviews, technical mentoring, and career advancement.

• Design and supervise the development of AI-enabled applications, intelligent automation solutions, and modern software platforms.

• Spearhead the design and implementation of solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other cutting-edge AI technologies.

• Direct the design of scalable data pipelines, knowledge retrieval systems, APIs, microservices, and enterprise integrations.

• Establish best practices for prompt engineering, AI evaluation, model governance, human-in-the-loop workflows, and responsible AI usage.

• Outline engineering strategies that balance scalability, performance, security, reliability, governance, and cost considerations.

• Review production-quality code to ensure compliance with software engineering best practices.

• Propel the implementation of CI/CD pipelines, automated testing, monitoring, logging, observability, and operational excellence.

• Create reusable frameworks, technical accelerators, documentation, and engineering standards that enhance delivery across programs.

• Manage multiple engineering initiatives while assuring consistent delivery quality across teams.

• Coordinate cross-functional and geographically distributed engineering teams, including hybrid onshore/offshore delivery models.

• Establish governance for delivery, resource planning, risk management, stakeholder communications, and project health reporting.

• Contribute to the organizational engineering strategy, AI capability development, and technical innovation.

• Encourage continuous improvement through engineering best practices, reusable assets, and knowledge sharing.

• Keep abreast of emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field (or equivalent experience).

• Over 7 years of experience in software engineering, AI engineering, machine learning, data engineering, solution architecture, or similar technical roles.

• Proven experience in leading engineering teams to deliver enterprise software solutions.

• Experience in designing, building, and deploying AI/ML or Generative AI solutions in production settings.

• Familiarity with architecting distributed systems, APIs, microservices, cloud-native applications, or enterprise integrations.

• Strong expertise with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments.

• Experience in leading technical workstreams and translating business goals into scalable technology solutions.

• Proficiency in implementing CI/CD pipelines, DevOps practices, automated testing, and production monitoring.

• Exceptional communication, leadership, consulting, and stakeholder management abilities.

• Demonstrated capability to lead engineering teams in agile settings while maintaining a hands-on technical approach.

• Willingness to travel as required by project demands.

🏝️ Benefits

• The chance to support high-visibility federal missions in IT and healthcare.

• A culture that promotes innovation, growth, collaboration, and quality.

• Access to state-of-the-art tools and technologies.

• Comprehensive benefits for you and your family.

• A career path that recognizes ambition and performance.