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Prinicipal AI Engineer

Job in Des Moines, Polk County, Iowa, 50319, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 105000 USD Yearly USD 85000.00 105000.00 YEAR
Job Description & How to Apply Below

Job Description

Principal AI Engineer

Must Have Technical/Functional Skills

Seeking a highly accomplished Principal AI Engineer to lead the design, architecture, and delivery of enterprise scale AI and Machine Learning solutions. This role requires deep technical expertise in AI/ML, strong architectural vision, hands‑on leadership, and the ability to drive AI strategy across the organization. The ideal candidate has extensive experience with advanced ML systems, GenAI/LLM solutions, and end to end AI platform development.

Key Responsibilities AI Strategy & Technical Leadership
  • Define and drive the organization’s AI roadmap, architecture, and long‑term technical vision.
  • Lead and mentor AI/ML engineers, data scientists, and cross‑functional teams.
  • Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms.
AI/ML Architecture & Innovation
  • Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation.
  • Design and optimize LLM‑powered systems, including RAG pipelines, fine‑tuned models, and enterprise AI assistants.
  • Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development.
End-to-End AI System Development
  • Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring.
  • Build large-scale, cloud-native AI systems using Azure/AWS/GCP.
  • Establish standards for model quality, reliability, interpretability, and governance.
MLOps & Platform Engineering
  • Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring.
  • Lead the development of AI platforms supporting multiple business teams and workloads.
  • Ensure production environments meet performance, scalability, and security requirements.
Cross Functional Collaboration
  • Partner with executives, product teams, and business leaders to identify AI opportunities.
  • Translate complex business problems into scalable AI solutions.
  • Represent AI architecture in technical reviews and decision‑making processes.
  • Databricks, SQL, and data processing frameworks.
Salary Range

$85,000-$105,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE

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