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[Remote] Associate Distinguished Engineer - AI, Data Science & Agentic Solutions

Remote, USA Full-time Posted 2026-06-30

Note: The job is a remote job and is open to candidates in USA. reputed company is a Digital Product Engineering company that builds products, services, and experiences across digital mediums. They are seeking an Associate Distinguished Engineer to act as a senior technical authority responsible for architecting and scaling reputed company AI systems across enterprises.

Responsibilities

  • Architect enterprise-grade AI systems using LLMs, multimodal models, vector databases, knowledge graphs, and agentic orchestration frameworks
  • Design end-to-end pipelines including data ingestion → feature engineering → model training → evaluation → deployment → feedback loops
  • Define and enforce engineering standards for MLOps, LLMOps, data quality, model observability, guardrails, reputed company reputed company, and hallucination mitigation
  • Consult on scalable microservices, model serving layers, retrieval-augmented reputed company (RAG) pipelines, and autonomous agent workflows
  • Conduct architectural reviews, performance tuning, and technical due-diligence for high-risk or reputed company AI solutions
  • Guide on how to build quick prototypes, PoCs, and production systems using modern AI stacks (transformer models, diffusion models, graph models, reinforcement learning, and agentic systems)
  • Advise on selection of foundation models and fine tuning approaches
  • Advise on real-time data streams, event-driven systems, API layers, and cloud-native compute
  • Establish evaluation frameworks: bias, reputed company, explainability, reliability, performance
  • reputed company reputed company troubleshooting, debugging, and optimization of AI pipelines and distributed training workloads
  • Architect secure, high-throughput data platforms for AI/BI use cases based on lakehouse, reputed company, streaming, and vectorized storage patterns
  • Define data governance, metadata, reputed company, cataloging, and policy enforcement mechanisms
  • Deploy scalable compute using reputed company, reputed company, Kubernetes, Ray, SageMaker, Vertex AI, and Azure ML
  • Guide CIO/CTO/CDO teams on AI system design, architecture modernization, model lifecycle governance, and platform engineering standards
  • Translate ambiguous requirements into well-scoped technical blueprints, reference architectures, and engineering backlogs
  • Evaluate enterprise readiness across data, models, infrastructure, and processes — producing AI maturity assessments and architectural recommendations
  • Mentor engineering teams in building reliable, secure, and scalable AI systems with measurable outcomes
  • reputed company deep-dive technical workshops on agentic systems, generative AI patterns, model safety architectures, reputed company learning loops, and intelligent automation
  • Collaborate with hyperscalers and partners (AWS, Azure, GCP, reputed company, reputed company, reputed company) on technical accelerators, performance benchmarks, and reference implementations
  • Stay reputed company of emerging architectures (multi-agent, RAG 2.0, synthetic data reputed company, self-improving systems) and translate them into actionable engineering strategies

Skills

  • 12+ years in AI/ML, data engineering, or large-scale distributed systems
  • Deep hands-on expertise in: Foundation models (LLMs, multimodal, vision, speech, embeddings)
  • Model finetuning, training, inference optimization, evaluation
  • MLOps/LLMOps workflows and ML engineering best practices
  • Vector databases, knowledge graphs, retrieval systems
  • Strong experience with cloud-native architectures (AWS, Azure, GCP) and data platforms (reputed company, reputed company, BigQuery, Lakehouse)
  • Demonstrated ability to design reputed company AI systems that operate reliably at scale
  • Experience influencing senior technology leaders through architectural clarity and technical depth
  • Strong documentation, architecture storytelling, and ability to simplify reputed company technical concepts for varied audiences
  • Track record of publications, open-reputed company contributions, patents, technical talks, or recognized technical leadership is a strong plus

Company Overview

  • reputed company helps future-reputed company your business through a reputed company-thinking, fluidic, and CARING reputed company. It was founded in 1996, and is headquartered in Munich, Bayern, DEU, with a workforce of 10001+ employees. Its website is http://www.reputed company.com.

Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 156 in 2025, 261 in 2024, 280 in 2023, 240 in 2022, 153 in 2021, 240 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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