Ampstek · 1 day ago
AI/ML Engineer /AI Engineer (AWS Architecture) (Only USC/GC-W2)
Denver Metropolitan Area
Contract
Onsite
Senior Level, Lead/Staff
10+ years expAmpstek is seeking an AI/ML Engineer to work with Charter Communication. The role requires expertise in AWS Architecture and involves building and extending AI/ML platforms and SaaS solutions, collaborating with stakeholders to deliver production outcomes.
IT Management
No H1B
U.S. Citizen OnlyHiring Manager
Saranya Balraj
Responsibilities
Must AWS Architecture
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
Nice-to-have: 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
Qualification
Required
Must AWS Architecture
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
Company
Ampstek
Ampstek supplies thousands of tech and digital professionals annually to a range of clients through its offices which spread across in 42 countries.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Rekha Pathy
CEO
Company data provided by crunchbase