genai engineer

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Saudi Arabia, and Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented
 
 AI / GenAI Solutions Engineer
 
 who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.
 
 
 You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.)
 </li>
 <li>
 Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace
 </li>
 <li>
 Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience
 </li>
 <li>
 Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions
 </li>
 <li>
 Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation
 </li>
 <li>
 Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field
 </li>
 <li>
 3+ years of relevant experience in AI or related fields
 </li>
 <li>
 Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts
 </li>
 <li>
 Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems
 </li>
 <li>
 Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)
 </li>
 <li>
 Expertise in NLP/NLU, conversational AI frameworks, and large language models
 </li>
 <li>
 Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping
 </li>
 <li>
 Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures
 </li>
 <li>
 Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment
 </li>
 <li>
 Experience implementing conversational flows, dialogue management, and context tracking in AI agents
 </li>
 <li>
 Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI deployments
 </li>
 <li>
 Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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>

AI / GenAI Solutions Engineer

soum

<div><div>Role Name: AI / GenAI Solutions Engineer</div>
<div>Location: Egypt, Saudi Arabia, and Pakistan (Remote)</div>
<div>Work Week: Sunday &ndash; Thursday</div>
<div>Working Hours: 9:00 AM &ndash; 6:00 PM (Saudi Arabia Standard Time)</div>
<div></div>
<div>Overview:</div>
<div>Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented AI / GenAI Solutions Engineer who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.</div>
<div></div>
<div>You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.</div>
<h3 class="jobSectionHeader">Responsibilities:</h3><ul>
<li>Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.).</li>
<li>Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace.</li>
<li>Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience.</li>
<li>Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions.</li>
<li>Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation.</li>
<li>Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams.</li>
</ul><h3 class="jobSectionHeader">Requirements:</h3><ul>
<li>Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field.</li>
<li>3+ years of relevant experience in AI or related fields.</li>
<li>Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts.</li>
<li>Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems.</li>
<li>Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)</li>
<li>Expertise in NLP/NLU, conversational AI frameworks, and large language models.</li>
<li>Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping.</li>
<li>Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures.</li>
<li>Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment.</li>
<li>Experience implementing conversational flows, dialogue management, and context tracking in AI agents.</li>
<li>Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities.</li>
<li>Understanding of data privacy, security, and ethical considerations in AI deployments.</li>
<li>Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.</li>
</ul>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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>

EPAM Systems

<div>We are seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to join our innovative team.
In this role, you will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for our cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers and software developers to ensure our GenAI applications&mdash;especially complex multi-agent systems&mdash;are scalable, reliable and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you.
Responsibilities<ul><li>
Build and Manage CI/CD Pipelines: Design, implement and maintain robust, automated CI/CD pipelines for training, evaluating and deploying large language models (LLMs) and AI agents</li><li>
Orchestrate Agentic AI Workflows: Design, deploy and manage sophisticated multi-agent systems Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processes</li><li>
Manage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperability</li><li>
Leverage AI-Powered Development: Utilize AI-powered development tools to accelerate the entire software development lifecycle from writing infrastructure code and tests to troubleshooting operational issues in cloud environments</li><li>
Infrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage the infrastructure required for GenAI workloads</li><li>
Model Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track model and agent performance, resource utilization and system health For agentic systems, this includes tracing the agent's actions and logging the multi-step conversational flow</li><li>
Scalability and Performance Optimization: Design and implement scalable architectures for model serving and inference Continuously optimize the performance and cost-effectiveness of our GenAI services</li><li>
Security and Compliance: Implement and enforce security best practices for our GenAI infrastructure and data Ensure compliance with industry standards and regulations</li></ul>
Requirements<ul><li>
3+ years in a DevOps, SRE or MLOps role with a focus on cloud infrastructure and a background in cloud services (AWS, GCP, Azure)</li><li>
Skilled in building and managing CI/CD pipelines (Jenkins, GitLab CI or cloud-native services) and proficiency in at least one scripting language (e.g. Python, Bash)</li><li>
Familiarity with IaC tools (e.g. AWS CDK, CloudFormation, Terraform) and in containerization and orchestration (Docker, Kubernetes)</li><li>
Track record deploying and operating LLM inference (e.g. vLLM, Triton, TGI, Ray Serve, KServe/Seldon)</li><li>
Hands-on with LLM/app tracing and metrics (e.g. OpenTelemetry + Langfuse, Arize Phoenix, WhyLabs) and building eval pipelines (offline/online regression suites)</li><li>
Skilled in operating retrieval pipelines: embedding generation, indexing/refresh strategies, vector DBs (Pinecone, Weaviate, Milvus, FAISS) and relevance monitoring</li><li>
Practice running multi-agent workflows (LangGraph, CrewAI, AutoGen-like), including state management, retries, rate limits, tool-failure handling and step-level auditing</li><li>
Experience in implementing guardrails: secrets isolation, tool/API permissions, prompt-injection defenses, data leakage prevention, PII redaction and policy enforcement</li><li>
Fluent English (B2+ level)</li></ul>
Nice to have<ul><li>
Master's degree or PhD in Computer Science, AI, Machine Learning or a related field</li><li>
Background integrating agents with external tools using MCP (or similar tool-calling standards) and operating tool registries</li><li>
Experience with cloud-native GenAI services like AWS Bedrock, Azure AI Foundry or Google Vertex AI</li><li>
Familiarity with the architecture and operational challenges of Large Language Models (LLMs)</li><li>
Experience designing or managing multi-agent systems or complex orchestrated workflows</li><li>
Knowledge of monitoring and observability tools like Prometheus, Grafana or Datadog</li><li>
Relevant cloud or DevOps certifications</li><li>
Strong problem-solving skills and the ability to work effectively in a fast-paced collaborative environment</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Senior Generative AI Operations (GenAI Ops) Engineer

Deloitte

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work you'll do
 
 
As an OpenAI Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 
 
Client Engagement
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li></ul> 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with OpenAI including hands on experience with one of the following key platform technologies; GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul></div>

OpenAI Forward Deployed Engineer - GPS

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work you'll do
 
 
As an Google Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 
 
Client Engagement
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li></ul> 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with Google including hands on experience with one of the following key platform technologies; Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul></div>

Google Forward Deployed Engineer - GPS

<div>Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work you'll do
 
 
As an Anthropic Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 
 
Client Engagement
 
<ul><li>Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
</li><li>Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
</li><li>Lead working sessions to shape solutions and drive client outcomes.
</li><li>Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
</li><li>Contribute independently within an FDE pod while mentoring newer team members.
</li></ul> 
Solution Engineering
 
<ul><li>Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
</li><li>Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
</li><li>Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
</li><li>Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
</li><li>Design extensible functionality, support sprint sizing, and align solutions with senior team members.
</li><li>Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
</li></ul> 
The Team
 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. 
 
Qualifications
 
 
Required:
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
</li><li>4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
</li><li>1+ years of experience with Anthropic including hands on experience with one of the following key platform technologies; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code
</li><li>1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
</li><li>1+ years of experience building reliable, maintainable, and well-documented code
</li><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Ability to obtain and maintain a US government security clearance
</li></ul> 
Preferred:
 
<ul><li>Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
</li><li>Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
</li><li>Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul></div>

Anthropic Forward Deployed Engineer - GPS

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