24 hours ago
Base Salary
$165k - $297k/yr
Responsibilities
- Own the full lifecycle delivery of net-new agentic AI solutions within an assigned business domain, from scoping through production optimization.
- Partner with TPMs and business stakeholders to define requirements, map workflows, assess data and integration readiness, and present ROI outcomes and delivery roadmaps.
- Design and implement production agentic AI systems, including system integrations, RAG pipelines, prompt orchestration, multi-agent workflows, A/B experiments, logging, and feedback collection.
- Build integration layers connecting AI solutions to CRM, billing, inventory, contract repositories, and other enterprise data sources.
- Normalize domain datasets, address data quality gaps, and provide structured engineering handoffs and domain insights.
- Mentor and technically guide FDEs while contributing to engagement methods, diagnostic frameworks, responsible AI reviews, data security guidelines, reporting, and knowledge transfer.
- Ensure solutions meet AI safety, data privacy, responsible AI, CPNI, PII, data governance, and security requirements.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or relevant equivalent experience; a master’s degree is preferred.
- 7–10 years of production engineering experience, including at least 3 years delivering LLM-based agentic systems.
- A track record of delivering production AI solutions that measurably improve business outcome metrics.
- 7+ years of production Python experience plus proficiency in at least one of Go, TypeScript, or Java.
- Hands-on expertise designing and deploying LLM production systems involving prompt engineering, RAG architecture, agent orchestration, benchmarking, and hallucination mitigation.
- Experience with complex SQL, ETL/ELT pipeline design, enterprise system integrations, cloud-native deployment, MLOps, model versioning, A/B testing, monitoring, and observability.
- Ability to lead technical delivery without formal authority and communicate with frontline operators, management, and C-suite stakeholders.
- Experience with responsible AI, security controls, data governance, AI safety, and compliance processes.
- More than 10 years of experience, solutions engineering, forward deployment, embedded technical work, enterprise technology adoption, change management, and complex stakeholder environments are preferred.
- Must be at least 18 years old and legally authorized to work in the United States.
Benefits
- Hybrid work requiring three days per week in the office in the Seattle, Washington or Frisco, Texas area; travel is required.
- Medical, dental, and vision insurance, flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off, and up to 12 paid holidays.
- Paid parental and family leave, family-building benefits, backup care, family support, childcare subsidy, tuition assistance, college coaching, and disability coverage.
- Optional life, accident, disability, long-term care, and AD&D coverage, plus mobile service and home internet discounts, pet insurance, and commuter and transit programs.
Categories
AI ApplicationsForward Deployed
About T-Mobile
T-Mobile provides nationwide 5G and 4G LTE wireless services for consumers and businesses, along with fixed wireless home internet and IoT connectivity. It sells mobile plans, devices, and enterprise wireless solutions under the T-Mobile, Metro by T-Mobile, and Mint Mobile brands. Headquartered in Bellevue, WA, the company trades on NASDAQ as TMUS and is majority-owned by Deutsche Telekom.