android engineer

data engineer

desktop engineer intern

engineer 2

engineering manager

ai engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Data &amp; AI Engineer</div><br>
<div><br>
</div><ul><li> 4-6 years of Data Engineering experience with proven hands-on experience in Big Data technologies and Business Intelligence tools.
</li></ul><ul><li> Understanding of Agile or other rapid application development methods. Exposure to design and coding across one or more platforms and languages as appropriate.
</li></ul><ul><li> Exposure to application design, software development, and automated testing methodologies.
</li></ul><ul><li> Experience with CI/CD practices using Git, Jenkins, and code integration/review processes.
</li></ul><ul><li> Backend platform: Experience building data connectors with relational &amp; nonrelational backend databases including MongoDB, PostgreSQL, and custom API Connectors.
</li></ul><ul><li> Google Cloud Platform Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
</li></ul><ul><li> Programming Languages: Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
</li></ul><ul><li> ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
</li></ul><ul><li> Data Modeling: Understanding of data modeling principles and techniques.
</li></ul><ul><li> Cloud Technologies: Knowledge of cloud computing concepts and standard processes.
</li></ul><ul><li> AI / ML: Experience with Statistical / Predictive Modeling, Machine Learning, A/B testing, and designing feature experiments
</li></ul><div>&bull; AI Frameworks: &bull;Experience supporting AI integrations ML pipelines including BigQuery ML, or other GCP AI/ML services
</div><ul><li> BI Tools: Experience working with BI tools including Tableau and PowerBI
</li></ul><ul><li> Problem-Solving: Excellent analytical and problem-solving skills.
</li></ul><ul><li> Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues.
</li></ul><ul><li> Passion for travel/airports a plus.
</li></ul><ul><li> Experience with LLMs, Generative AI, or NLP systems.
</li></ul><ul><li> Familiarity with feature stores and model registries.
</li></ul><ul><li> Knowledge of data governance and compliance standards.
</li></ul><ul><li> Experience with real-time analytics and streaming architectures.
</li></ul><ul><li> Certifications in cloud or AI technologies.
</li></ul><ul><li> Design, build, and maintain scalable data pipelines (batch and streaming) supporting real-time / near-real-time data integration for Lounge Services Analytics use cases.
</li></ul><ul><li> Develop and optimize ETL/ELT processes for structured and unstructured data from various backend DBs and sources including MongoDB, PostgreSQL, APIs, and third-party systems.
</li></ul><ul><li> Architect and manage cloud-native data infrastructure/warehouses within Google Cloud Platform (BigQuery) environments.
</li></ul><ul><li> Orchestrate Data Transformations with Cloud Composer / Airflow DAGs.
</li></ul><ul><li> Enable trusted, analytics-ready datasets to support Tableau dashboards and analytics.
</li></ul><ul><li> Experience with observability and monitoring tools such as Datadog, CloudWatch, Prometheus, or similar platforms.
</li></ul><ul><li> Implement data monitoring, logging, and observability frameworks to ensure data quality, integrity, governance and security standards are met.
</li></ul><ul><li> Build AI / ML models and integrations to support predictive &amp; personalized use cases including lounge recommendations, capacity forecasting, and lounge optimization
</li></ul><ul><li> Collaborate with cross-functional teams including Analytics, Product &amp; Business to define data requirements and deliver solutions.
</li></ul><ul><li> Optimize data storage and processing for performance and cost-efficiency (partitioning and indexing solutions).
</li></ul><ul><li> Implement and enforce data governance standards, including data classification, access controls, and retention policies.
</li></ul><ul><li> Develop and maintain metadata management practices, including data lineage, catalog documentation, and business glossary alignment.</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>403669</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data & AI Engineer

Realign

<div>New York, New York 10001 Posted April 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title</b> : Software AI Engineer &ndash; Agentic AI</div><div><b>
Location</b> : New York, NY (ONSITE)<br>
<b>FTE ONLY</b></div><div></div><div><b><br>
Job Description</b></div><ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li> Fluency with AI-assisted and agentic development workflows.</li><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li> Ability to influence technical direction and align teams without formal authority.</li><li> Experience in workflow engines, async processing, queues, and streaming systems.</li><li> Languages: Python, Go, TypeScript</li><li> APIs and services: REST, gRPC</li><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li> Distributed systems: event-driven architectures, including Kafka</li><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li><li> Integration of commercial and open-source LLMs into agentic workflows</li><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li> Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li> Own and evolve shared agentic AI capabilities, including:</li><li> Agent frameworks and orchestration layers</li><li> Planning, tool use, and memory strategies</li><li> Retrieval and grounding (RAG) pipelines</li><li> LLM infrastructure, inference, and model gateways</li><li> Evaluation, observability, and safety tooling for autonomous systems</li><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to pro duction.</li><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Software AI Engineer – Agentic AI-2

Capital One

<div>Lead AI Engineer (AI Foundations)<p></p><p><b>
Overview
</b></p><p></p><p>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p></p><p><b>
Team Description:</b></p><p></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</p></li><li><p>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</p></li><li><p>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</p></li></ul><p></p><p><b>
The Ideal Candidate:</b></p><p></p><ul><li><p>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</p></li><li><p>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</p></li><li><p>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</p></li><li><p>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</p></li><li><p>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><p></p><ul><li><p>
Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</p></li><li><p>
At least 4 years of experience programming with Python, Go, Scala, or Java</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><p></p><ul><li><p>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</p></li><li><p>
Experience designing, developing, delivering, and supporting AI services</p></li><li><p>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</p></li><li><p>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</p></li><li><p>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</p></li></ul><p></p><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Sales Territory: $179,400 - $204,700 for Lead AI Engineer<br>
<p></p>
McLean, VA: $197,300 - $225,100 for Lead AI Engineer<br>
<p></p>
New York, NY: $215,200 - $245,600 for Lead AI Engineer<br>
<p></p>
Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer<br>
<p></p>
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead AI Engineer (AI Foundations)

<div>Sr. Lead AI Engineer (AI Foundations)<p></p><p><b>
Overview:</b></p><p></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p></p><p><b>
Team Description:</b></p><p></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><p></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</p></li><li><p>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</p></li><li><p>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</p></li></ul><p></p><p><b>
The Ideal Candidate:</b></p><p></p><ul><li><p>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</p></li><li><p>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</p></li><li><p>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</p></li><li><p>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</p></li><li><p>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><p></p><ul><li><p>
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</p></li><li><p>
At least 6 years of experience programming with Python, Go, Scala, or Java</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><p></p><ul><li><p>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</p></li><li><p>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</p></li><li><p>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</p></li><li><p>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</p></li><li><p>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</p></li><li><p>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</p></li><li><p>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</p></li></ul><p></p><p><i><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Sr. Lead AI Engineer (AI Foundations)

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><br>
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you&rsquo;ve come to the right place.</div><p>
As an Applied AIML Engineer, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm&rsquo;s portfolios.</p><p><b>
Job responsibilities</b></p><ul><li><div><div>
Co-Develop and implement LLM-based, machine learning models and algorithms to solve complex operational challenges.</div></div></li><li><div><div>
Design and deploy generative AI applications to automate and optimize business processes.</div></div></li><li><div><div>
Collaborate with stakeholders &amp; Data Scientists to understand business needs and translate them into technical solutions.</div></div></li><li><div><div>
Analyze large datasets to extract actionable insights and drive data-driven decision-making.</div></div></li><li><div><div>
Ensure the scalability and reliability of AI/ML solutions in a production environment.</div></div></li><li><div><div>
Stay up-to-date with the latest advancements in AI/ML technologies &amp; LLMs and integrate them into our operations.</div></div></li><li><div><div>
Mentor and guide junior team members in coding &amp; SDLC standards, AI/ML best practices and methodologies.</div></div></li></ul><div>
</div><div></div><p><b>Required qualifications, capabilities, and skills</b></p><ul><li><div><div>
Master&rsquo;s or Bachelors in Computer Science, Data Science, Machine Learning, or a related field, with a focus on engineering.</div></div></li><li><div><div>
Excellent API design and engineering experience with proven usage of API python frameworks Quart, Flask or FastAPI</div></div></li><li><div><div>
Proficiency in Python &amp; async programming, with a strong emphasis on writing comprehensive test cases using testing frameworks such as pytest to ensure code quality and reliability
</div></div></li><li><div><div>Expertise with Index &amp; Vector DBs such as Opensearch./ElasticSearch</div></div></li><li><div><div>
Extensive experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.</div></div></li><li><div><div>
Champion of MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.</div></div></li><li><div><div>
Experience with generative AI models, including GANs, VAEs, or transformers. Experience with Diffusion models is a plus.</div></div></li><li><div><div>
Solid understanding of data preprocessing, prompt engineering, feature engineering, and model evaluation techniques.</div></div></li><li><div><div>
Proficiency in AI coding tools and editors such as Cursor, Windsurf or CoPilot</div></div></li><li><div><div>
Familiarity in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.</div></div></li><li><div><div>
Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS).</div></div></li></ul><div>
</div><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li><div><div>
Expertise in cloud storage such as RDS and S3</div></div></li><li><div><div>
Excellent problem-solving skills and the ability to work independently and collaboratively.</div></div></li><li><div><div>
Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.</div></div></li><li><div><div>
Proven experience in leading projects and teams, with a track record of successful project delivery.</div></div></li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Applied AI/ML Engineer-Vice President

GeneDx

<div><p><b>Summary</b></p>
<p>
We are seeking a Senior AI Engineer to design and build intelligent systems that transform how patients and clinicians interact with health data. You will develop longitudinal patient health views, create personalized agentic workflows for patient outreach, and integrate deeply with our data warehouse - all while crafting intuitive, delightful interfaces for exploring complex health information.</p>
<p>
This is a hands-on, high-impact individual contributor role requiring 8-10 years of experience and deep expertise across generative AI, clinical data systems, and modern software engineering.</p>
<p><b>
Job Responsibilities</b></p>
<ul>
<li>Longitudinal Patient Health Views - Design and build comprehensive, longitudinal representations of patient health by aggregating and normalizing data from electronic health records, lab results, genomic reports, and other clinical sources.</li>
<li>Agentic Workflows - Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach (e.g., follow-up scheduling, result delivery, care gap identification).</li>
<li>Data Warehouse Integration - Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.</li>
<li>Interface Design and Development - Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.</li>
<li>Generative AI and NLP - Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.</li>
<li>Technical Leadership - Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.</li>
</ul>
<p><b>People Manager</b></p>
<ul>
<li>No</li>
</ul>
<p><b>Education, Experience, and Skills</b></p>
<ul>
<li>8+ years of professional software engineering experience, with significant depth in AI/ML.</li>
<li>Python expertise - Advanced proficiency; this is your primary language.</li>
<li>Agentic AI systems - Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.</li>
<li>Agentic coding - Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.</li>
<li>Electronic Health Data - Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.</li>
<li>Clinical ontologies - Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.</li>
<li>Generative AI - Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).</li>
<li>Data integration - Experience integrating with data warehouses and building reliable data pipelines.</li>
<li>Develop new methods and approaches for solving complex problems.</li>
<li>Be accountable for significant portions of projects with proven, consistent contributions.</li>
<li>Work on complex issues requiring in-depth evaluation and independent judgment.</li>
<li>Collaborate cross-functionally with product, design, clinical, and data teams.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience in genomics, genetic testing, or precision medicine.</li>
<li>Experience with building rich data interfaces.</li>
<li>Knowledge of HIPAA compliance and healthcare data privacy requirements.</li>
<li>Bachelor's degree in Computer Science, AI/ML, Biomedical Informatics, or related field; Master's preferred.</li>
</ul>
<p><b>Certificates, Licenses, Registrations</b></p>
<ul>
<li>None</li>
</ul>
<p><b>Work Environment</b></p>
<ul>
<li>This is a fully remote position. The employee will work from a home office or other suitable remote location with reliable high-speed internet access. Work is performed in a climate-controlled environment using standard office equipment, including a computer, phone, and video conferencing tools. Your standard work schedule and hours will be established in collaboration with your leader and may be adjusted to align with evolving business needs.</li>
</ul>
<p><b>Physical Demands</b></p>
<p>
This is a sedentary role requiring prolonged periods of sitting while working at a computer. Physical demands include:</p>
<ul>
<li>Sitting for extended periods (up to 8 hours per day)</li>
<li>Repetitive use of hands and fingers for typing and mouse operation</li>
<li>Visual acuity for reading computer screens and documents</li>
<li>Ability to communicate effectively via phone and video calls</li>
<li>Occasional lifting of up to 10 pounds (office supplies, equipment)</li>
</ul>
<p>Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.</p>
<p><b>
Acknowledgements</b></p>
<p>
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor.
</p><p>#LI-REMOTE</p><p></p><div><p><br>
~</p>
<p><b>
Science - Minded, Patient - Focused.</b></p>
<p>
At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pioneering work in the identification of new disease-causing genes, our commitment to genetic disease detection, discovery, and diagnosis is based on sound science and is focused on enhancing patient care.</p>
<p><b>
Experts in what matters most.</b></p>
<p>
With hundreds of genetic counselors, MD/PhD scientists, and clinical and molecular genomics specialists on staff, we are the industry's genetic testing experts and proud of it. We share the same goal as healthcare providers, patients, and families: to provide clear, accurate, and meaningful answers we all can trust.</p>
<p><b>
SEQUENCING HAS THE POWER TO SOLVE DIAGNOSTIC CHALLENGES.
</b></p><p>From sequencing to reporting and beyond, our technical and clinical experts are providing guidance every step of the way:</p>
<p><b>
TECHNICAL EXPERTISE</b></p>
<ul>
<li><i>High-quality testing</i>: Our laboratory is CLIA certified and CAP accredited and most of our tests are also New York State approved.</li>
<li><i>Advanced detection</i>: By interrogating genes for complex variants, we can identify the underlying causes of conditions that may otherwise be missed.</li>
</ul>
<p><b>CLINICAL EXPERTISE</b></p>
<ul>
<li><i>Thorough analysis</i>: We classify variants according to our custom adaptation of the most recent guidelines. We then leverage our rich internal database for additional interpretation evidence.</li>
<li><i>Customized care</i>: Our experts review all test results and write reports in a clear, concise, and personalized way. We also include information for research studies in specific clinical situations.</li>
<li><i>Impactful discovery</i>: Our researchers continue working to find answers even after testing is complete. Through both internal research efforts and global collaborations, we have identified and published hundreds of new disease-gene relationships and developed novel tools for genomic data analysis. These efforts ultimately deliver more diagnostic findings to individuals.</li>
</ul>
<p>Learn more About Us here.</p>
<p><b>
Our Culture</b></p>
<p>
At GeneDx, we are dedicated to cultivating an environment where creativity and innovation thrive. We believe in the power of community and collaboration, where diverse perspectives are embraced, and every voice contributes to our shared success. Our team is a vibrant mix of professionals who challenge and support each other in equal measure, fostering growth both personally and professionally. When you join us, you're not just taking on a job&mdash;you're joining a movement. A movement that champions curiosity, embraces change, and believes in making an impact, one patient at a time. Cultural principles we live by:</p>
<ul>
<li>Be bold in our vision &amp; brave in our execution.</li>
<li>Communicate directly, with empathy.</li>
<li>Do what we say we're going to do.</li>
<li>Be adaptable to change.</li>
<li>Operate with a bias for action.</li>
</ul>
<p><b>Benefits include:</b></p>
<ul>
<li>Paid Time Off (PTO)</li>
<li>Health, Dental, Vision and Life insurance</li>
<li>401k Retirement Savings Plan</li>
<li>Employee Discounts</li>
<li>Voluntary benefits</li>
</ul>
<p><b>GeneDx is an Equal Opportunity Employer.</b><br>
<br>
All privacy policy information can be found here.</p></div></div>

Sr. Machine Learning Engineer, Patient Health Intelligence

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