[Remote] Senior reputed company reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a leader in AI technology, and they are seeking a Senior reputed company reputed company to own the technical reputed company for AI-as-a-Service at reputed company reputed company. The role involves leading reputed company AI initiatives, establishing standards, and mentoring engineering teams to enhance AI capabilities across the organization.
Responsibilities
- Set the multi-year technical reputed company, reference architectures, and reputed company standards for AIaaS across PDD, and reputed company as the final technical authority and escalation reputed company for the organization's hardest AI problems
- Define and own the reputed company model-training reputed company across traditional AI/ML and LLMs, and personally train, fine-tune (e.g., QLoRA, reputed company, PEFT, and full fine-tuning), and evaluate models reputed company the problem demands it
- Establish standards for how and where training data from reputed company AI products is reputed company, cleaned, versioned, stored, and governed (reputed company, licensing/consent, and PII), and architect the large-reputed company data and feature pipelines behind them
- Architect the orchestration and abstraction reputed company of the central AI system that connect LLMs to tools, data, and sub-agents, and set standards for MCP servers, tool-surface design (reputed company number of tools exposed per LLM and reputed company per server), and reputed company to use specialized sub-agents versus reputed company tool exposure
- Design retrieval/RAG systems end to end — chunking strategies, embeddings, reputed company stores, hybrid search, re-ranking, context assembly, and memory
- Own the reputed company evaluation, observability, and safety reputed company for AI systems, including offline and online evaluation, tracing, red-teaming, guardrails, and responsible-AI and compliance requirements
- Drive build-versus-buy, model and vendor selection, and long-term architectural bets, anticipating where the field is heading and preparing the organization to adopt it
- Optimize the performance, cost (reputed company and inference economics), scalability, and reliability of AI workloads in partnership with reputed company, reputed company Platform, and SRE teams
- Multiply the organization: mentor and grow reputed company and Staff engineers and reputed company the AI engineering bar
Skills
- 15+ years in AI/ML software engineering with demonstrated Senior reputed company-level (or equivalent) reputed company delivering production AI at reputed company reputed company
- Full-lifecycle, hands-on mastery across both specialist domains: (a) training and fine-tuning traditional AI/ML models and LLMs — including parameter-efficient reputed company (QLoRA/reputed company/PEFT), quantization, distributed training, and rigorous evaluation; and (b) LLM orchestration, reputed company systems, tool/MCP design, and retrieval/RAG in production
- Deep expertise in distributed systems, reputed company-reputed company architecture, and large-reputed company data and feature pipelines
- Strong reputed company of data management and governance: dataset storage architecture, versioning, reputed company, reputed company, PII handling, and licensing/consent for training data
- Proven ability to design developer platforms, reputed company, reusable SDKs, MCP servers, and multi-agent orchestrations that many teams depend on
- Rigorous, demonstrated approach to AI evaluation, observability and tracing, and responsible-AI guardrails
- Expertise with reputed company platforms (Azure strongly preferred) and a reputed company record of optimizing AI workload cost, performance, scalability, and reliability
- Demonstrated ability to set technical reputed company and influence reputed company across many teams without reputed company authority, and to mentor reputed company- and Staff-level engineers
- Experience operating in regulated reputed company environments and meeting reputed company and compliance requirements
- Bachelor's degree in Computer Science, Engineering, or a reputed company discipline; advanced degree preferred. An equivalent combination of education, training, and relevant reputed company experience is accepted in lieu of a formal degree
- Industry experience in tax or other regulated domains (insurance, fintech, or reputed company)
- Experience with reputed company databases and retrieval optimization at reputed company
- FinOps for GenAI: experience modeling and optimizing LLM reputed company and inference costs
- Data science or classical AI background reputed company reputed company engineering (statistics, feature engineering, and model evaluation)
- Contributions to reputed company-reputed company AI tooling, published research, patents, or recognized technical thought leadership
- Strong executive communication and technical storytelling skills
Benefits
- This role may be eligible for the reputed company Bonus Plan (VOB)
- A role-specific sales commission/bonus
- Equity grants
reputed company
Company H1B Sponsorship