Associate Principal Engineer, AI Architect

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

📋 Description

• Comprehend client business use cases and technical specifications, transforming them into detailed technical designs.

• Take ownership of the architecture and technical vision for AI-driven user-facing applications developed with Python, React, and Generative AI.

• Design scalable, secure, and cost-effective backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.

• Establish frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.

• Lead intricate GenAI workflows that integrate LLMs, tools, APIs, structured data, and user context.

• Set engineering standards for prompt design, model integration, evaluation, and observability.

• Propel GenAI platformization through reusable components, SDKs, and frameworks.

• Collaborate with product, design, data, and business leaders to convert strategic goals into scalable technical solutions.

• Evaluate critical designs and codebases, remove obstacles for teams, and enhance engineering standards.

• Spearhead technical discovery and solutioning for high-impact projects, including workshops for clients or executives.

• Ensure adherence to security, privacy, compliance, governance, and responsible AI practices.

• Utilize AI-assisted development tools like Copilot and Claude Code while ensuring production quality.

• Align technical decisions with requirements and interpret them for developers.

• Identify and refine solution options to fulfill client needs.

• Establish guidelines and benchmarks for non-functional requirements.

• Create and evaluate architecture, framework, and high-level design documentation.

• Assess architecture and designs for extensibility, scalability, security, design patterns, user experience, and non-functional requirements.

• Develop comprehensive solutions and determine technologies, patterns, and frameworks.

• Apply integration learnings from technology in projects.

• Address code and review issues through methodical root-cause analysis.

• Conduct proofs of concept to validate designs and technologies.

⛳️ Requirements

• Minimum of 9 years of total experience.

• Proven software engineering experience with a strong focus on Python.

• Demonstrated experience in developing microservices and APIs using Python, FastAPI, and Node.js.

• Established record of architecting and delivering production-grade Generative AI applications at scale.

• Strong system design capabilities across backend, frontend, and AI infrastructure layers.

• Proficient in architecting and implementing scalable ML, Generative AI, and Agentic AI solutions, including LLMs, RAG, and autonomous agents.

• Experience in Enterprise Architecture and Solution Design.

• Capability to build end-to-end AI pipelines and integrate vector databases such as Pinecone, Weaviate, and Milvus.

• Experience in deploying secure, production-grade hybrid and cloud AI solutions utilizing AWS, GCP, or Azure.

• Familiarity with CI/CD, AI-assisted code optimization, and strict access control measures.

• Experience in defining technical strategy and influencing architecture across teams or pods.

• Ability to mentor junior engineers and facilitate agile workflows using Jira.

• Strong understanding of AI Governance and Responsible AI, multi-cloud AI platform architecture, AgentOps/GenAIOps, Knowledge Graphs, and Semantic Layer Architecture.

• Hands-on experience with cloud platforms and distributed systems.

• Capability to translate ambiguous business challenges into robust technical architectures.

• Excellent communication skills with the ability to influence senior stakeholders and technical leadership.

• Bachelor's or master's degree in Computer Science, Information Technology, or a related discipline.

🏝️ Benefits

• Remote work opportunities.

• A dynamic and non-hierarchical work culture.

• Chance to collaborate with global teams spanning 40 countries.

• Mentorship and partnership with product, design, data, and business leaders.