AI Solutions Architect - Generative AI
First seen by Alion on Nov 10, 2026.
About Us:
We are calling applicants on behalf of a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, we provide a comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.
The Role:
We are seeking an experienced AI Solutions Architect to lead customer engagements, architect innovative AI-powered enterprise solutions, and drive successful execution from presales through delivery. The ideal candidate combines strong consulting skills, deep technical expertise in AI and full-stack software engineering, and hands-on experience building production-ready AI solutions.
Key Responsibilities:
Customer Consulting & Presales:
- Engage with customers to understand business objectives, pain points, and transformation opportunities.
- Conduct discovery workshops and identify high-value AI use cases.
- Collaborate with Sales teams to develop AI-led solution strategies.
- Lead technical presentations, solution demonstrations, and executive discussions.
- Develop solution proposals, architecture documents, effort estimates, SOWs, and responses to RFPs/RFIs.
AI Solution Architecture:
- Design scalable, secure, and cloud-native AI solutions leveraging Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Intelligent Automation, and Predictive Analytics.
- Define end-to-end solution architecture, integration strategy, security, governance, and implementation roadmap.
AI-Enabled Software Engineering:
- Drive AI adoption across enterprise application architecture and the Software Development Lifecycle.
- Design AI-enabled full-stack applications by integrating LLMs, copilots, semantic search, AI agents, and intelligent automation.
- Architect modern cloud-native, microservices-based applications.
Proof of Concept & Delivery:
- Develop rapid AI Proof of Concepts (PoCs) and prototypes demonstrating business value and technical feasibility.
- Lead architectural governance from presales through implementation.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline.
- 10+ years of experience in enterprise software development, solution architecture, or technology consulting.
- 5+ years of hands-on experience designing and implementing AI/ML and Generative AI solutions.
Technical Skills:
- AI: Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Prompt Engineering, MLOps.
- Platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, Vector Databases.
- Engineering: Python, Java, .NET, Node.js, React/Angular, Microservices, REST APIs.
- Cloud: Azure, AWS, GCP, Docker, Kubernetes, Terraform.
Skills
Artificial Intelligence, Solution Architect, Generative AI, Machine Learning, LLM, RAG, LangChain, Python