Our Client, is the Enterprise AI application software company. They deliver a family of fully integrated products including an Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, proprietary applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
Our Client is seeking an experienced professional to join our AI Solution Architecture team (post-sales). In this customer-facing role, you will have the opportunity to design, develop, and deploy custom and pre-built Enterprise AI applications using their custom AI Application Platform. Their AI product suite is entirely data-driven, so a great candidate will have a passion for acquiring, analyzing, and transforming data to generate insights with advanced analytics. This role is very hands-on and requires a perfect combination of a “big picture,” solution-oriented mindset, and solid implementation skills.
This role requires US Citizenship. Active Department of Defense (DoD) security clearance (Secret or higher) +Poly
Responsibilities:
- Engage directly with customers in a post-sales capacity to configure and implement a full-stack AI solution according to functional and performance requirements
- Drive discussions on architecture and engineering to articulate the capabilities of the proprietary AI Application Platform and its interoperability with existing systems
- Design and implement reference architectures to deliver scalable and reusable solutions
- Develop new specs, documentation, and participate in the development of technical procedures and user support guides
- Assess technical risks and come up with mitigation strategies
- Support, monitor, and execute production AI application jobs and processes
- Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings
Qualifications:
- TS/SCI Clearance (preferably DoD) +Poly
- 5+ years of experience (8+ years for Senior AI SA) with system/data integration, development, or implementation of enterprise and/or cloud software
- Bachelor’s degree in engineering, computer science, or related fields Deep understanding of enterprise architecture and enterprise application integration (File, API, Queues, Streams)
- Extensive hands-on expertise in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP)
- Demonstrated proficiency with Python, JavaScript, and/or Java
- Experience with relational and NoSQL databases (any vendor)
- Solid understanding of data modeling best practices
- Strong organizational and troubleshooting skills with attention to detail
- Strong analytical ability, judgment, and problem-solving techniques
- Interpersonal and communication skills with the ability to work effectively in a cross-functional team
- Ability to travel up to 30%
PREFERRED QUALIFICATIONS:
- Expertise in Postgres, Cassandra
- Experience with stream processing frameworks (Kafka, Kinesis)
- Experience with container-based deployments using Kubernetes or OpenShift
- Experience designing and maintaining DataOps and MLOps in Production environments
- Working knowledge of Machine Learning algorithms
- Familiarity with Commercial LLMs, including a comprehensive understanding of their integration, customization, and management
- Familiarity with vector databases (e.g., PGVector, FAISS) for efficient embedding storage and retrieval in RAG applications
- Familiarity with AI/ML-related technologies and tools (MLFlow, KubeFlow, AWS SageMaker, Azure MLStudio)
- Experience with Information, Network, & Infrastructure Security concepts
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