Ampstek · 12 hours ago
Solutions Architect (AI Integration) (Only USC/GC-W2)
Ampstek is seeking a Solutions Architect specializing in AI integration for their client Charter Communication. The role involves designing and implementing AI/ML solutions and collaborating with product owners to translate customer needs into platform features.
Responsibilities
10+ years in solution architecture, forward-deployed/embedded engineering, platform engineering, delivery architecture, technical consulting, or SRE/DevOps supporting application teams
Hands-on experience building or extending shared platforms (AI/ML, data, or integration) and SaaS solutions, working through their constraints to deliver production outcomes
Proven track record working directly with customer/stakeholder teams to deliver solutions into production
Experience working closely with product owners to turn customer needs into platform features and roadmap items
Strong written and verbal communication with senior technical and business audiences; able to produce clear technical artifacts
Understands core ML concepts, basic stats, and A/B-style evaluation enough to collaborate with data science teams
Familiarity with challenges of LLM/agent/RAG-style solutions (variability, guardrails, evaluation) and how to drive robust, repeatable solutions
Comfortable in Python (or similar, e.g., TypeScript/Java) to use platform tooling, call APIs, build sample integrations, and debug issues
Qualification
Required
10+ years in solution architecture, forward-deployed/embedded engineering, platform engineering, delivery architecture, technical consulting, or SRE/DevOps supporting application teams
Hands-on experience building or extending shared platforms (AI/ML, data, or integration) and SaaS solutions, working through their constraints to deliver production outcomes
Proven track record working directly with customer/stakeholder teams to deliver solutions into production
Experience working closely with product owners to turn customer needs into platform features and roadmap items
Strong written and verbal communication with senior technical and business audiences; able to produce clear technical artifacts
Understands core ML concepts, basic stats, and A/B-style evaluation enough to collaborate with data science teams
Familiarity with challenges of LLM/agent/RAG-style solutions (variability, guardrails, evaluation) and how to drive robust, repeatable solutions
Comfortable in Python (or similar, e.g., TypeScript/Java) to use platform tooling, call APIs, build sample integrations, and debug issues
Preferred
Background in AI/LLM/agentic systems or adjacent data/ML platforms
Experience with enterprise identity/security patterns (SSO, OAuth/OIDC, RBAC) and network segmentation
History of creating reusable enablement assets and resolving complex escalations with senior stakeholders