AI Engineer Senior Job at Elevance Health (Indianapolis)

New

Ai Engineer Senior

The AI Engineer Senior develops, analyzes and models operational, economic, mana...

Location

United States of America , Indianapolis; Atlanta

Salary:

Not provided

Elevance Health

Expiration Date

July 10, 2026

Requirements

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 6 or more years of experience
or any combination of education and experience in configuration management, which would provide an equivalent background.

Job Responsibility

Recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry
Collaborates with a multi-disciplinary team of clinicians, engineers, and researchers to deliver an end-to-end product: from ideation to data collection and analysis, model architecture design, development, testing, validation, and integration into the production environment.

What we offer

Merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical, dental, vision, short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

Fulltime

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New

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...

Location

India , Bengaluru

Salary:

Not provided

InfoGrowth

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, machine learning, or AI-related roles
Strong experience with Python (required)
familiarity with JavaScript/TypeScript is a plus
Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
Experience building production-grade APIs and services
Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
Solid understanding of data structures, algorithms, and system design
Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)

Job Responsibility

Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
Integrate AI systems with APIs, databases, tools, and third-party services
Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
Lead end-to-end AI projects from concept to production
Collaborate closely with product managers, designers, and backend teams
Establish best practices for AI safety, evaluation, monitoring, and governance
Mentor junior engineers and conduct technical reviews

Fulltime

Senior AI Engineer Vertex AI / Gemini

My client is looking for a Senior AI Engineer with proven experience delivering ...

Location

Qatar , Doha

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Vertex AI and Gemini Enterprise AI Platform
Delivered 2-3+ AI use cases to production using the Google AI stack
Experience building and deploying RAG (Retrieval-Augmented Generation) solutions
Multi-agent AI systems
Strong Python and cloud engineering skills
Experience with vector databases, embeddings, prompt engineering, and AI orchestration frameworks
Excellent English communication skills

Job Responsibility

Deliver production-grade AI solutions on Google Cloud Platform (GCP)
Build and deploy RAG solutions
Build and deploy multi-agent AI systems

Fulltime

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Strong programming skills in Python
Experience working with large datasets and distributed data platforms
Familiarity with Databricks or similar modern data platforms
Experience building production-grade AI systems (not just POCs)
Strong understanding of prompt engineering and LLM optimization techniques

Job Responsibility

Design and build agentic AI systems leveraging large language models (LLMs)
Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
Translate business problems into production-ready AI workflows and applications
Collaborate with product and architecture teams to define AI use cases and technical approaches
Implement and optimize: Prompt engineering strategies
Token usage and cost efficiency
Model performance and response quality
Work with large-scale datasets to support training, fine-tuning, and inference workflows
Contribute to the development of AI engineering standards, frameworks, and best practices
Partner with data science teams to integrate models into production environments

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Senior AI Engineer (Agentic AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...

Location

Singapore , Singapore

Salary:

8000.00 - 9000.00 SGD / Month

Randstad

Expiration Date

July 27, 2026

Requirements

At least 5 years of experience in machine learning, system deployment, or semiconductor automation
Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP

Job Responsibility

Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
Monitor production performance, manage retraining pipelines, and address data drift or anomalies
Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems

Senior AI Engineer - MSC AI Innovation

MSC AI Innovation is an AI-first team that incubates, builds, and accelerates so...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

8+ years professional software development
4+ years of software engineering experience in the AI space (e.g., building and shipping AI/ML or GenAI features in production)
Proven experience with building AI agents
Hands-on experience with evaluation methodologies and integrating quality standards/guardrails into delivery
Proficiency in Python and/or C#, with experience using REST APIs and SDKs
Deep understanding of AI system design, including ML fundamentals, Generative AI concepts, and cloud-native architectures

Job Responsibility

Design and build AI agents that plan, use tools/APIs, manage state/memory, and reliably complete multi-step workflows
Own AI features from design through production, including deployment, monitoring, and live‑site reliability, with an eval-first development lifecycle: define success criteria, build evaluation datasets and automated harnesses, and run human-in-the-loop reviews where needed
Develop and maintain prompt, retrieval, and memory strategies (system prompts, few-shot examples, tool schemas, retrieval context) with proper versioning and evaluation coverage
Debug AI behavior using prompt analysis, data inspection, and model/tool-call traces, and translate failure patterns into targeted improvements
Establish and track AI quality metrics (e.g., accuracy, groundedness, relevance, hallucination rate) and integrate them into CI/CD release gates
Optimize runtime performance and economics (token usage, inference cost, latency, caching, model selection/routing, batching) and implement monitoring and continuous improvement loops (online signals, drift detection, structured user feedback)
Partner with product, design, and domain stakeholders to define use cases, acceptance criteria, and rollout plans for AI features
Live site responsibility

Fulltime

Senior Lead AI Engineer, AI Foundations

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , New York, New York; McLean, Virginia; San Jose, California; Cambridge, Massachusetts

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Health, financial and other benefits

Fulltime

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AI Engineer Senior

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