What are the responsibilities and job description for the AI Solution Architect position at Engineering Square?
Job Title: Architect Premium III / AI Solution Architect
Location: Washington, DC (4 days onsite)
Job Description:
We are seeking an experienced AI Solution Architect with 15 years of expertise in designing and delivering large-scale, enterprise-grade platforms across Artificial Intelligence, search, and distributed systems. The ideal candidate will have strong hands-on experience in Generative AI and a proven ability to architect scalable, high-performance solutions in complex enterprise environments.
Key Responsibilities:
- Lead the design and implementation of enterprise-scale GenAI platforms, including end-to-end architecture for LLM-based solutions
- Architect and govern RAG (Retrieval-Augmented Generation) pipelines, vector search systems, embeddings, and agent-based workflows across cloud platforms
- Develop and optimize prompt engineering strategies and AI agent frameworks for real-world enterprise use cases
- Design and build high-throughput, low-latency distributed systems supporting batch and real-time (streaming) data processing
- Collaborate with cross-functional teams including data scientists, ML engineers, and product stakeholders to deliver scalable AI solutions
- Drive architecture decisions for cloud-native platforms (AWS, Azure, or Google Cloud Platform), ensuring scalability, reliability, and security
- Establish best practices, standards, and governance for AI/ML and GenAI implementations
- Provide technical leadership, mentoring, and guidance to engineering teams
Required Skills:
- Strong expertise in Generative AI technologies, including LLMs, RAG, vector databases, embeddings, and AI agents
- Hands-on experience with distributed systems design and large-scale data processing (batch streaming)
- Proficiency in cloud platforms (AWS/Azure/Google Cloud Platform) and modern data architectures
- Experience with search technologies and scalable indexing/query systems
- Solid programming background (Python, Java, or similar)
- Excellent problem-solving, communication, and leadership skills
Preferred Qualifications:
- Experience building production-grade AI/ML platforms at enterprise scale
- Familiarity with MLOps, LLMOps, and model lifecycle management
- Prior experience in AI-driven search or recommendation systems
Salary : $70 - $80