generative ai engineer

Booz Allen Hamilton

<div>Generative AI Engineer
The Opportunity:
As an experienced engineer, you know that artificial intelligence (AI), particularly generative AI and large language models (LLMs), has begun transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems that will help Booz Allen and its clients execute missions of national importance.
In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You&rsquo;ll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.
Join us. The world can't wait.
You Have:<ul><li>
5+ years of experience in software engineering, machine learning engineering, data science, or data research</li><li>
3+ years of experience integrating Large Language Models (LLMs), GPT models, or multi-modal models with applications or user interfaces</li><li>
3+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing and LLM frameworks</li><li>
1+ years of experience with agentic AI development</li><li>
Experience with MLOps, including MLFlow, CI/CD, model training or testing, deployment, or monitoring</li><li>
Experience working in a collaborative, cross-functional team environment consisting of security engineers, data scientists, machine learning engineers, and designers</li><li>
Ability to distill complex technical concepts into clear summaries consumable by business leaders with a nontechnical background</li><li>
Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, and AI services</li><li>
DHS Suitability</li><li>
Bachelor&rsquo;s degree</li></ul>
Nice If You Have:<ul><li>
Experience implementing secure agent communication protocols that enforce access controls, data boundaries, and governance policies across agent-to-system and agent-to-agent interactions</li><li>
Experience working with relational and non-relational databases</li><li>
Experience with standup of Cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform</li><li>
Experience working with federal clients</li><li>
Possession of excellent verbal and written communication skills</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS Suitability is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Generative AI Engineer

Aliqan Technologies

Job Description &ndash; GenAI EngineerPosition: GenAI Engineer Experience: 5.5 &ndash; 9 Years Location: Mumbai, Bangalore, Gurugram, Chennai Work Mode: Hybrid (3 Days Work From Office &ndash; Mandatory) Work Location: Candidate must be willing to work from the client location. CTC: Up to ₹36 LPAAbout the RoleWe are looking for an experienced GenAI Engineer with strong expertise in Large Language Models (LLMs), Generative AI, NLP, Computer Vision, and cloud technologies. The ideal candidate should be capable of designing and developing end-to-end AI-powered solutions while working closely with cross-functional teams to build scalable, production-ready applications.Key Responsibilities<ul><li>Design, develop, and deploy advanced solutions using Large Language Models (LLMs).</li><li>Take complete ownership of end-to-end solution development from design to deployment.</li><li>Research and stay updated with the latest advancements in Generative AI, LLMs, and AI frameworks.</li><li>Develop reusable code libraries, frameworks, and tools for AI application development.</li><li>Participate in code reviews and ensure adherence to coding standards and best practices.</li><li>Contribute across the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and maintenance.</li><li>Collaborate with product managers, engineering teams, and stakeholders to integrate AI solutions into enterprise applications.</li><li>Analyze business problems and translate them into scalable AI-driven solutions.</li><li>Troubleshoot, optimize, and improve AI models and application performance.</li><li>Communicate effectively with technical and non-technical stakeholders.</li></ul>Required Skills1. Natural Language Processing (NLP)Hands-on experience in one or more of the following:<ul><li>Use case classification</li><li>Topic modeling</li><li>Question Answering (Q&amp;A)</li><li>Chatbots</li><li>Enterprise Search</li><li>Document AI</li><li>Text Summarization</li><li>Content Generation</li></ul>OR2. Computer Vision &amp; Audio AIHands-on experience in:<ul><li>Image classification</li><li>Object detection</li><li>Image segmentation</li><li>Image generation</li><li>Audio analysis</li><li>Video analysis</li></ul>Generative AI &amp; LLMsSaaS LLM PlatformsExperience with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Prompt Engineering (Chain of Thought, Tree of Thought, ReAct, AI Agents)</li><li>Azure OpenAI</li><li>Google Vertex AI</li><li>AWS Bedrock</li><li>Multi-modal AI (Text, Audio, Image, Video)</li></ul>Open Source LLMsKnowledge of:<ul><li>Hugging Face</li><li>TensorFlow</li><li>PyTorch</li><li>LLM Fine-tuning (PEFT)</li><li>RLHF (Reinforcement Learning from Human Feedback)</li><li>Quantization</li><li>Data Annotation Workflows</li><li>GPU Utilization and Optimization</li></ul>Cloud TechnologiesHands-on experience with one or more cloud platforms:<ul><li>Microsoft Azure</li><li>Amazon Web Services (AWS)</li><li>Google Cloud Platform (GCP)</li></ul>Preferred:<ul><li>Cloud Certification (Azure/AWS/GCP)</li></ul>Application Development SkillsStrong experience in:<ul><li>Python</li><li>Docker</li><li>FastAPI / Django / Flask</li><li>Git &amp; Version Control</li><li>REST APIs</li><li>Microservices Architecture</li></ul>Required Qualifications<ul><li>5.5&ndash;9 years of overall software development experience.</li><li>Strong experience in Generative AI and LLM-based application development.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and take ownership of projects.</li><li>Experience building scalable, production-ready AI applications.</li></ul>Preferred Skills<ul><li>Experience with RAG (Retrieval-Augmented Generation) architectures.</li><li>Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus, etc.).</li><li>Experience deploying AI applications on cloud platforms.</li><li>Exposure to MLOps and CI/CD pipelines.</li><li>Experience with AI Agents and Agentic AI frameworks.</li></ul>Pay: ₹2,500,000.00 - ₹3,600,000.00 per yearWork Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

Head Resourcing

<div>
 
 We're seeking a
 
 Lead AI Engineer
 
 to design, build, and scale AI-powered solutions that deliver real business value. You'll combine hands-on development with technical leadership, driving the adoption of Generative AI and LLM technologies across this global organisation based in Glasgow
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and deliver secure, scalable AI and LLM-powered applications
 </li>
 <li>
 Build production-ready solutions using modern AI architectures
 </li>
 <li>
 Collaborate with Product, Data, and Operations teams to identify AI opportunities
 </li>
 <li>
 Optimise solutions for performance, reliability, security, accuracy, and cost
 </li>
 <li>
 Lead AI projects from prototype through to production
 </li>
 <li>
 Define engineering standards, best practices, and technical roadmaps
 </li>
 <li>
 Mentor developers and provide technical leadership
 </li>
 <li>
 Evaluate AI tools, frameworks, cloud platforms, and infrastructure
 </li>
 <li>
 Ensure quality through testing, code reviews, monitoring, and observability
 </li>
 <li>
 Promote responsible and secure AI development
 </li>
 </ul>
 
 
 
 
 In order to be successful in the role, candidates ideally need
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Generative AI and Large Language Models (LLMs)
 </li>
 <li>
 Experience with RAG, prompt engineering, AI evaluation, embeddings, and vector search
 </li>
 <li>
 Knowledge of AI infrastructure, vector databases, and AI agent frameworks
 </li>
 <li>
 Strong development skills in Python, TypeScript, Node.js, React and/or .NET
 </li>
 <li>
 Experience with REST APIs, SQL/NoSQL databases, Git, CI/CD, and cloud platforms
 </li>
 <li>
 Understanding of secure and responsible AI principles
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Experience mentoring or leading engineers
 </li>
 <li>
 Passion for AI and emerging technologies
 </li>
 <li>
 Committed to engineering excellence and continuous improvement
 </li>
 </ul>
 
 
 
 
 
 Interested in shaping the future of AI within a global organisation. Apply now to learn more.
 
 
</div>

Weekday

<div><div>This role is for one of our clients</div>
<div></div>
<div>Industry: Software Development 
</div>
<div>Seniority level: Mid-Senior level</div> 
<div></div>
<div>
Experience: 4+ yrs

Location: Remote (India)

Job Type: full-time
</div>
<div><h2 class="jobSectionHeader">Requirements</h2>
<div>
Qualifications
<ul>
<li>Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture</li>
<li>Experience in software development</li>
<li>Excellent communication skills (customer facing position)</li>
<li>A deep understanding of GenAI/ML technologies and their implementations</li>
<li>Experience in the financial, healthcare, or insurance industries is a plus</li>
<li>Bachelor's/Master's degree in Computer Science/data science or related field</li>
<li>Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python</li>
<li>Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines.</li></ul> 


Minimum 5+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models. 


1. LLM (GPT); prompt engineering for reflex, model and self-learning agents

2. Facility with Python to code wrappers, interface with APIs, develop utilities

3. Experience with packages such as LangChain and LangGraph

4. Experience with assembling intelligent AI agents to implement variety of use cases

5. A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator

6. You MUST have the ability to think through clearly for a solution design, 


Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases 


Hands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)

Requirements added by the job poster
<ul><li>Bachelor's Degree</li></ul>
</div>
</div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

WORLDWIDE TECHNOLOGY SERVICES LLC

Hiring: Generative AI EngineerJoin Worldwide Technology Solutions (WTS) and build the next generation of AI-powered enterprise solutions.Location: Hyderabad (Work From Office) Experience: 2&ndash;3 Years Immediate Joiners PreferredWe are looking for a skilled Generative AI Engineer with hands-on experience in developing production-ready AI applications using Large Language Models (LLMs), AI Agents, Prompt Engineering, and Retrieval-Augmented Generation (RAG).Responsibilities<ul><li>Build and deploy enterprise-grade Generative AI applications.</li><li>Develop AI Agents and intelligent automation workflows.</li><li>Design and optimize RAG pipelines using vector databases.</li><li>Engineer and evaluate prompts for production use cases.</li><li>Integrate foundation models through APIs.</li><li>Collaborate with cross-functional teams to deliver scalable AI solutions.</li><li>Optimize AI model performance, accuracy, and reliability.</li></ul>Required Skills✔ 2&ndash;3 years of hands-on experience in Generative AI. ✔ Strong proficiency in Python. ✔ Experience with LLMs and Prompt Engineering. ✔ Hands-on expertise in AI Agents and Agentic AI workflows. ✔ Experience building RAG-based applications. ✔ Knowledge of LangChain, LangGraph, LlamaIndex, or similar frameworks. ✔ Experience working with OpenAI, Claude, Gemini, or equivalent foundation models. ✔ Familiarity with vector databases and AI model evaluation. ✔ Experience with AWS, Azure, or Google Cloud is an added advantage.Mandatory RequirementsMust be currently based in Hyderabad.Immediate joiners only. Work From Office.Apply NowSend your resume to: divya.priya@wtsorg.comWorldwide Technology Solutions (WTS)Pay: Up to ₹500,000.00 per yearWork Location: In person

Hiring: Generative AI Engineer

Capgemini

<div><div><div><div>Job Title: Generative AI Engineer/Data Scientist
Location: London 
 
About the Job you are considering:
We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. 
 
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. 
 
Your Role:
<ul><li>Implement and finetune generative AI models under the guidance of senior team members</li>
<li>Contribute to prompt engineering and development of Ai powered workflows</li>
<li>Assist with the deployment monitoring and maintenance of AI models in production environments</li>
<li>Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities</li>
<li>Perform data preprocessing feature engineering and API development for AI applications</li>
<li>Participate in code reviews testing and documentation to ensure quality and reliability</li>
<li>Stay updated with advancements in GenAI and share relevant learnings with the team</li>
<li>You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights</li> 
</ul> 
Your Skills
<ul><li>Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras</li>
<li>Familiarity with LLMs prompt engineering and finetuning eg LoRA QLoRA</li>
<li>Exposure to RAG systems and basic knowledge of hybrid search techniques</li>
<li>Understanding of model deployment and containerization Docker</li>
<li>Proficiency in Python for AI development data preprocessing and scripting</li>
<li>Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus</li>
<li>Understanding of version control systems Git</li>
Awareness of AI compliance data privacy and responsible AI principles. 
<li>
 
</li></ul>We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul>Please opt in during the application process.
Make It Real (what does it mean for you):
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
 
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li> 
</ul> 
Why you should consider Capgemini:
Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. 
 
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
Make it real | www.capgemini.com</div></div></div></div><div></div>

Senior Generative AI Engineer

Sentara

<div>City/State
Virginia Beach, VA
Work Shift
First (Days)
Overview:<h1 class="jobSectionHeader">
Sentara is hiring a Senior MLOps &amp; Generative AI Engineer!</h1>
This position is fully remote!
Candidates must reside in one of the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming.<h1 class="jobSectionHeader">
Overview</h1>
We are seeking a highly skilled and experienced Senior MLOps &amp; Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence.
This role combines two critical focus areas:<ul><li>
MLOps Engineering &mdash; building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities.</li><li>
Generative AI Engineering &mdash; designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks.</li></ul>
As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization&rsquo;s AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments.
Key Responsibilities
MLOps Engineering Responsibilities<ul><li>
Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.</li><li>
Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.</li><li>
Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.</li><li>
Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads.</li><li>
Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability.</li><li>
Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes.</li><li>
Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment.</li><li>
Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code.</li><li>
Identify gaps and improvement opportunities within the organization&rsquo;s ML platform ecosystem and architect scalable solutions to address them.</li><li>
Support enterprise AI governance, compliance, auditability, and model risk management requirements.</li><li>
Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems.</li></ul><div></div>
Generative AI Engineering Responsibilities<ul><li>
Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems.</li><li>
Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies.</li><li>
Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.</li><li>
Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability.</li><li>
Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases.</li><li>
Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics.</li><li>
Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments.</li><li>
Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications.</li><li>
Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments.</li><li>
Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows.</li><li>
Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement.</li><li>
Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives.</li><li>
Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data.</li><li>
Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices.</li></ul>
Required Qualifications<ul><li>
5+ years of experience building and deploying production software, ML systems, or AI platforms.</li><li>
1+ years of hands-on experience building production Generative AI or LLM-based applications.</li><li>
Strong programming skills in Python and experience with software engineering best practices.</li><li>
Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.</li><li>
Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.</li><li>
Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.</li><li>
Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.</li><li>
Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.</li><li>
Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.</li><li>
Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.</li><li>
Experience building monitoring, observability, and alerting solutions for ML and AI systems.</li><li>
Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.</li><li>
Experience designing secure, scalable, production-ready AI platforms and services.</li><li>
Strong communication and collaboration skills with the ability to work across technical and business teams.</li></ul><div></div>
Preferred Qualifications<ul><li>
Previous experience implementing Generative AI and MLOps solutions within healthcare environments.</li><li>
Experience working with EPIC or healthcare interoperability platforms.</li><li>
Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.</li><li>
Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.</li><li>
Experience with GPU infrastructure optimization and scalable inference architectures.</li><li>
Familiarity with multi-agent AI systems and autonomous workflows.</li><li>
Experience with event-driven architectures, streaming pipelines, and real-time inference systems.</li><li>
Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.</li><li>
Experience with enterprise AI platform architecture and internal developer platforms.</li><li>
Prior experience mentoring engineers and leading technical initiatives.</li></ul><h1 class="jobSectionHeader">
Education</h1><ul><li>
5+ years of relevant experience with a degree (Required)</li></ul>
or<ul><li>
7+ years of relevant experience without a degree (Required)</li><li>
Experience in lieu of Bachelor&rsquo;s Degree.</li></ul><h1 class="jobSectionHeader">
Certification/Licensure</h1><ul><li>
No specific certification or licensure requirements</li></ul><h1 class="jobSectionHeader">
Experience</h1><ul><li>
5 to 7 years of relevant experience</li></ul>
We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Talroo-IT, MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face Transformers, TensorFlow, RAG, EPIC, HIPAA, AI Governance<div><div>
Benefits: Caring For Your Family and Your Career</div><ul><li>Medical, Dental, Vision plans</li><li>Adoption, Fertility and Surrogacy Reimbursement up to $10,000</li><li>Paid Time Off and Sick Leave</li><li>Paid Parental &amp; Family Caregiver Leave
</li><li>Emergency Backup Care</li><li>Long-Term, Short-Term Disability, and Critical Illness plans</li><li>Life Insurance</li><li>401k/403B with Employer Match</li><li>Tuition Assistance &ndash; $5,250/year and discounted educational opportunities through Guild Education</li><li>Student Debt Pay Down &ndash; $10,000</li><li>Reimbursement for certifications and free access to complete CEUs and professional development</li><li>Pet Insurance</li><li>Legal Resources Plan</li><li>Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.</li></ul></div>
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. 
In support of our mission &ldquo;to improve health every day,&rdquo; this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.</div>

Senior MLOps & Generative AI Engineer - Remote

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Hiring: Generative AI Engineer

Senior Generative AI Engineer

Senior MLOps & Generative AI Engineer - Remote