Artificial Intelligence Data Engineer II Job at L.A. Care Health Plan (Los Angeles)

Acquisition AI Integration Subject Matter Expert

The Acquisition AI Integration SME role focuses on integrating acquisition, cont...

Location

United States , California, MD; Arlington, VA; Pax River Naval Base

Salary:

145000.00 - 210000.00 USD / Year

KAIROS Inc

Expiration Date

Until further notice

Requirements

Expert level experience in NAVAIR acquisition and contract analytics systems
Excellent project management skills, with the ability to manage cross-functional teams
Strong communication and interpersonal skills, capable of leading technical discussions and driving alignment across teams.
Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues in a fast-paced environment.
Strong customer relations, analytics, documentation skills
Self-starter, highly motivated, strong work ethic with a commitment to quality
Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
Ability to work within a challenging, fast-paced, team-oriented environment
Ability to work independently
Ability to multi-task and meet competing, deliverable deadlines

Job Responsibility

Acquisition AI Integration and Engineering Leadership
Support ongoing data, AI, and platform integration efforts with a specific focus on acquisition and contracting workflows for ACAT I and II programs into the latest NAWCAD War Room application and AI suites
Deliver AI-driven acquisition solutions that automate and optimize contract data processes, ensuring compliance with DoD and DON procurement standard
Provide SME feedback for integrating NAVAIR systems such as Program Management Tool (PMT) and Acquisition Management System (AMS)
Lead numerous product management related meetings and use latest Agile management best practices and enterprise tools
Technology Leadership: Lead multi-disciplinary hardware, software, AI, and data engineering teams focused on delivering capabilities and features described on the latest KAIROS EPAD technology roadmap.
Recommend and implement cutting-edge technologies and methodologies to improve KAIROS data automation processes and platform capabilities.
Cross-Functional Collaboration: Collaborate with engineering, manufacturing, and product teams to ensure successful design and implementation of enterprise platform and data-automation solutions across various applications.
Work closely with supply chain and operations teams to ensure material availability, cost efficiency, and process sustainability.
Lead training programs and knowledge sharing initiatives to build internal expertise.

What we offer

Medical Coverage
Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
Health Savings Account with Contribution by Employer
401K Plan with Employer Matching
Annual Discretionary Bonuses
Paid Time Off
Eleven (11) Paid Holidays
Certification reimbursement program
Tuition Reimbursement Program
Paid Parental Leave

Fulltime

Artificial Intelligence Data Engineer II

The Artificial Intelligence Data Engineer II designs, develops, and manages scal...

Location

United States , Los Angeles

Salary:

105267.00 - 173689.00 USD / Year

L.A. Care Health Plan

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Related Field
At least 5 years of experience in data engineering
At least 2 years of experience focused on AI/ML data pipelines
Hands on experience working on GenAI projects (chatbot implementations, Natural Language Processing (NLP), Sentiment Analysis, recommendation systems, anomaly detection etc.
Proficient skills in Python, SQL, Spark, AWS (Glue, S3, Lambda), Snowflake (Snowpark Container Services), IDMC, prompt engineering, model inference and fine-tuning, RAG and working with MCP, Vector databases
Proficient technical and data engineering skills
Solid understanding of supervised and unsupervised machine learning methods, feature engineering, model evaluation, and validation techniques
Ability to operationalize models in production environments, including basic MLOps practices (version control, CI/CD, reproducibility)
Ability to communicate complex AI/ML concepts effectively to non-technical stakeholders
Excellent documentation skills, ensuring reproducibility, clarity of assumptions, and transparency of model design

Job Responsibility

Design and implement scalable data pipelines for AI/ML workloads
Develop and deploy AI/ML solutions using Python, Snowpark, or cloud-native ML services
Build and manage feature stores to support model training and inference
Integrate structured and unstructured data sources from internal and external systems
Collaborate with data scientists to understand data requirements and optimize pipelines
Implement data quality checks, metadata tagging, and lineage tracking
Ensure compliance with Health Insurance Portability and Accountability Act (HIPAA), Centers for Medicare and Medicaid Services (CMS), and enterprise data governance standards
Automate data ingestion and transformation using tools like AWS Glue, Snowflake, and Informatica Data Management Cloud (IDMC)
Implement DevOps/MLOps and Continuous Integration (CI)/Continuous Delivery (CD) pipelines using git actions or similar tools
Monitor pipeline performance and troubleshoot issues in production environments

What we offer

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Fulltime

Software Engineer II

We are seeking a skilled software engineer to join our team and help implement a...

Location

Czech Republic , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

Job Responsibility

AI-Native Development: Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same
Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
Coding: Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications
Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs
Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy
Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices
Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them.

Fulltime

AI Software Engineer II

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...

Location

United Kingdom , Glasgow

Salary:

Not provided

Planet DDS

Expiration Date

Until further notice

Requirements

2-4 years of professional software engineering experience, including at least 4 years in AI/ML-focused roles
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
Experience working in a SaaS or enterprise software environment

Job Responsibility

Build scalable solutions that integrate AI capabilities into our products and services
Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code
Support end-to-end development of AI systems, including data ingestion, model training, evaluation, and deployment
Implement best practices in model versioning, monitoring, and continuous improvement
Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools
Stay current on advancements in AI, ML, and deep learning and assess their applicability to business needs
Ensure AI solutions are ethical, interpretable, and aligned with regulatory requirements

New

Applied AI Engineer II

Dynamics 365 is Microsoft’s suite of enterprise software that powers many of the...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems
AI & Domain Expertise: Deep expertise in one or more AI domains, with a proven track record of deploying and scaling AI models in cloud environments
MLOps & LLMOps: Strong experience with MLOps workflows (CI/CD, monitoring, retraining pipelines) and familiarity with modern LLMOps frameworks
Cloud & Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools
Engineering Excellence: Passion for building high-quality, reliable, and maintainable software with strong coding and debugging practices
Collaboration & Communication: Excellent verbal, written, and cross-team communication skills

Job Responsibility

Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies

Fulltime

New

Software Engineer II

Dynamics 365 is Microsoft’s suite of enterprise software that powers many of the...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies

Fulltime

Research Engineer II

Dynamics 365 is Microsoft’s suite of enterprise software that powers many of the...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies

Fulltime

Technical Program Manager II - Data & AI - Gaming

Join Microsoft Gaming’s Studios Quality team as a Technical Program Manager II! ...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
1+ year(s) of experience managing cross-functional and/or cross-team projects
Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field
Minimum 2 years of experience in data science, including managing structured and unstructured data, applying statistical methods, and reporting results
At least 2 years managing cross-functional or cross-team projects
Communication, stakeholder management, and problem-solving skills
Ability to work independently, influence others, and collaborate effectively
Demonstrated success collaborating with both technical and nontechnical teams to achieve alignment and shared accountability
Experience with machine learning and/or artificial intelligence projects

Job Responsibility

Oversee the complete delivery of technical programs from start to finish
Develop specifications, collaborate with engineering teams, and ensure results align with organizational goals
Establish clear scope, milestones, timelines, success criteria, and deliverables for each program
Identify and prioritize technical needs and gaps, communicating them effectively to stakeholders
Recognize, manage, and mitigate risks, issues, and dependencies across teams
Maintain transparency by providing regular status updates, clear stakeholder communications, and proactive risk escalation

Fulltime

Artificial Intelligence Data Engineer II

L.A. Care Health Plan

Location:
United States , Los Angeles

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 25, 2026

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