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HomeCompaniesFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2Sr Gen AI Engineer - TX, USA (Remote)

Sr Gen AI Engineer - TX, USA (Remote)

Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 · TX, United States · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
TitleSr Gen AI Engineer - TX, USA (Remote)
Normalized title-
Department / team-
LocationTX, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2025-06-21 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
Sourcec9ed31af-e3b7-45ab-9928-44fa8c877305
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o . What will you do? What are we looking for? We are seeking a Senior Generative AI Engineer with a passion for building intelligent, agentic systems that transform how consumers interact with healthcare. This role is ideal for hands-on, driven individuals who want to be at the forefront of AI innovation—designing and deploying LLM-powered agents that provide dynamic, context-aware, and personalized chat experiences. As a Senior Engineer, you will contribute to the development of agentic AI platforms that leverage LangGraph , multi-agent orchestration , and LLM tool use to deliver scalable, secure, and human-centric solutions. You will work across architecture, product, and engineering teams to build the next generation of conversational AI that empowers our members throughout their health journeys. What We Expect of You: Proven experience designing and deploying agentic AI systems using LLMs, vector databases, and orchestration frameworks like LangGraph or LangChain Deep understanding of LLM tool use , memory management , retrieval-augmented generation (RAG) , and multi-agent collaboration Strong ability to work with cross-functional stakeholders to define and implement scalable, extensible AI architectures Experience building stateful, goal-driven agents that can reason, plan, and act autonomously in complex environments Passion for building human-centric AI that is ethical, explainable, and aligned with user needs and regulatory standards Excellent communication and evangelism skills to influence technical direction and promote best practices Responsibilities Include: Architect and implement agentic AI chat systems that integrate LLMs with tools, APIs, and memory for dynamic task execution Design and develop LangGraph-based workflows for orchestrating multi-step, multi-agent interactions Collaborate with Product Managers, Architects, and Engineering Leads to define AI capabilities and roadmap Build and maintain reference architectures , POCs , and technical documentation to guide engineering teams Ensure AI systems meet non-functional requirements such as performance, scalability, observability, and security Mentor engineers and foster a culture of innovation, experimentation, and continuous learning in GenAI Advocate for responsible AI practices , ensuring compliance with PII/PHI handling, ADA, and other regulatory standards Stay current with advancements in LLMs, agentic frameworks, and AI safety to inform strategic decisions REQUIRED QUALIFICATIONS 8+ years of software engineering experience, with 3+ years in AI/ML or LLM-based application development 2+ years of hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LangChain, Semantic Kernel) 2+ years of experience building agentic AI systems or autonomous agents using OpenAI, Anthropic, or open-source LLMs Strong proficiency in Python , FastAPI , vector databases (e.g., FAISS, Weaviate), and RAG pipelines Experience with cloud platforms (GCP preferred), microservices , and API-first development Familiarity with CI/CD , DevOps , and observability tools for AI systems PREFERRED QUALIFICATIONS Experience with LangGraph or similar graph-based agent orchestration tools Knowledge of LLMOps , prompt engineering , and fine-tuning or RAG optimization Experience with chatbot frameworks , voice assistants , or multimodal agents Background in healthcare , HIPAA compliance , or regulated AI systems Strong understanding of AI safety , alignment , and ethical AI design Excellent communication and presentation skills Compensation, Benefits and Duration Minimum Compensation: USD 48,000 Maximum Compensation: USD 168,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post.

Full job record

Job IDd3f2068ef9f80f9d1254aae188689053bb1e50ab
Org ID9b9010ed-5f3e-4445-bf65-2990847efc8d
Source IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Board IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Provideroracle_hcm
Provider Job Key23000
TitleSr Gen AI Engineer - TX, USA (Remote)
Normalized Title
Statusactive
Activeyes
Location TextTX, United States
Department
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionTX
City
Salary RawDescription Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o . What will you do? What are we looking for? We are seeking a Senior Generative AI Engineer with a passion for building intelligent, agentic systems that transform how consumers interact with healthcare. This role is ideal for hands-on, driven individuals who want to be at the forefront of AI innovation—designing and deploying LLM-powered agents that provide dynamic, context-aware, and personalized chat experiences. As a Senior Engineer, you will contribute to the development of agentic AI platforms that leverage LangGraph , multi-agent orchestration , and LLM tool use to deliver scalable, secure, and human-centric solutions. You will work across architecture, product, and engineering teams to build the next generation of conversational AI that empowers our members throughout their health journeys. What We Expect of You: Proven experience designing and deploying agentic AI systems using LLMs, vector databases, and orchestration frameworks like LangGraph or LangChain Deep understanding of LLM tool use , memory management , retrieval-augmented generation (RAG) , and multi-agent collaboration Strong ability to work with cross-functional stakeholders to define and implement scalable, extensible AI architectures Experience building stateful, goal-driven agents that can reason, plan, and act autonomously in complex environments Passion for building human-centric AI that is ethical, explainable, and aligned with user needs and regulatory standards Excellent communication and evangelism skills to influence technical direction and promote best practices Responsibilities Include: Architect and implement agentic AI chat systems that integrate LLMs with tools, APIs, and memory for dynamic task execution Design and develop LangGraph-based workflows for orchestrating multi-step, multi-agent interactions Collaborate with Product Managers, Architects, and Engineering Leads to define AI capabilities and roadmap Build and maintain reference architectures , POCs , and technical documentation to guide engineering teams Ensure AI systems meet non-functional requirements such as performance, scalability, observability, and security Mentor engineers and foster a culture of innovation, experimentation, and continuous learning in GenAI Advocate for responsible AI practices , ensuring compliance with PII/PHI handling, ADA, and other regulatory standards Stay current with advancements in LLMs, agentic frameworks, and AI safety to inform strategic decisions REQUIRED QUALIFICATIONS 8+ years of software engineering experience, with 3+ years in AI/ML or LLM-based application development 2+ years of hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LangChain, Semantic Kernel) 2+ years of experience building agentic AI systems or autonomous agents using OpenAI, Anthropic, or open-source LLMs Strong proficiency in Python , FastAPI , vector databases (e.g., FAISS, Weaviate), and RAG pipelines Experience with cloud platforms (GCP preferred), microservices , and API-first development Familiarity with CI/CD , DevOps , and observability tools for AI systems PREFERRED QUALIFICATIONS Experience with LangGraph or similar graph-based agent orchestration tools Knowledge of LLMOps , prompt engineering , and fine-tuning or RAG optimization Experience with chatbot frameworks , voice assistants , or multimodal agents Background in healthcare , HIPAA compliance , or regulated AI systems Strong understanding of AI safety , alignment , and ethical AI design Excellent communication and presentation skills Compensation, Benefits and Duration Minimum Compensation: USD 48,000 Maximum Compensation: USD 168,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/23000
Apply URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/23000
First Seen At2026-05-31 18:10:54Z
Last Seen At2026-06-06 11:42:19Z
Last Checked At2026-06-06 11:42:19Z
Last Changed At2026-05-31 18:10:54Z
Inactive At
Source Posted At2025-06-21 02:33:03Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com|CX_2/date=2026-06-06/2026-06-06T11-39-58-531Z-e320342a62e45378bca2a748525babe6f39f646f8831572ba82a69bb753d37a3.json
Event Fields
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Extensions
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This role is ideal for hands-on, driven individuals who want to be at the forefront of AI innovation—designing and deploying&nbsp;<strong>LLM-powered agents</strong>&nbsp;that provide dynamic, context-aware, and personalized chat experiences.\n </div>\n <p>As a Senior Engineer, you will contribute to the development of&nbsp;<strong>agentic AI platforms</strong>&nbsp;that leverage&nbsp;<strong>LangGraph</strong>,&nbsp;<strong>multi-agent orchestration</strong>, and&nbsp;<strong>LLM tool use</strong>&nbsp;to deliver scalable, secure, and human-centric solutions. You will work across architecture, product, and engineering teams to build the next generation of conversational AI that empowers our members throughout their health journeys.</p>\n <div>\n  &nbsp;\n </div>\n <p><strong>What We Expect of You:</strong></p>\n <ul>\n  <li>Proven experience designing and deploying&nbsp;<strong>agentic AI systems</strong>&nbsp;using LLMs, vector databases, and orchestration frameworks like&nbsp;<strong>LangGraph or LangChain</strong></li>\n  <li>Deep understanding of&nbsp;<strong>LLM tool use</strong>,&nbsp;<strong>memory management</strong>,&nbsp;<strong>retrieval-augmented generation (RAG)</strong>, and&nbsp;<strong>multi-agent collaboration</strong></li>\n  <li>Strong ability to work with cross-functional stakeholders to define and implement scalable, extensible AI architectures</li>\n  <li>Experience building&nbsp;<strong>stateful, goal-driven agents</strong>&nbsp;that can reason, plan, and act autonomously in complex environments</li>\n  <li>Passion for building&nbsp;<strong>human-centric AI</strong>&nbsp;that is ethical, explainable, and aligned with user needs and regulatory standards</li>\n  <li>Excellent communication and evangelism skills to influence technical direction and promote best practices</li>\n </ul>\n <div>\n  &nbsp;\n </div>\n <p><strong>Responsibilities Include:</strong></p>\n <ul>\n  <li>Architect and implement&nbsp;<strong>agentic AI chat systems</strong>&nbsp;that integrate LLMs with tools, APIs, and memory for dynamic task execution</li>\n  <li>Design and develop&nbsp;<strong>LangGraph-based workflows</strong>&nbsp;for orchestrating multi-step, multi-agent interactions</li>\n  <li>Collaborate with Product Managers, Architects, and Engineering Leads to define AI capabilities and roadmap</li>\n  <li>Build and maintain&nbsp;<strong>reference architectures</strong>,&nbsp;<strong>POCs</strong>, and&nbsp;<strong>technical documentation</strong>&nbsp;to guide engineering teams</li>\n  <li>Ensure AI systems meet&nbsp;<strong>non-functional requirements</strong>&nbsp;such as performance, scalability, observability, and security</li>\n  <li>Mentor engineers and foster a culture of innovation, experimentation, and continuous learning in GenAI</li>\n  <li>Advocate for&nbsp;<strong>responsible AI practices</strong>, ensuring compliance with PII/PHI handling, ADA, and other regulatory standards</li>\n  <li>Stay current with advancements in LLMs, agentic frameworks, and AI safety to inform strategic decisions</li>\n </ul>\n <div>\n  &nbsp;\n </div>\n <p><strong>REQUIRED QUALIFICATIONS</strong></p>\n <ul>\n  <li>8+ years of software engineering experience, with 3+ years in AI/ML or LLM-based application development</li>\n  <li>2+ years of hands-on experience with&nbsp;<strong>LLM orchestration frameworks</strong>&nbsp;(e.g., LangGraph, LangChain, Semantic Kernel)</li>\n  <li>2+ years of experience building&nbsp;<strong>agentic AI systems</strong>&nbsp;or&nbsp;<strong>autonomous agents</strong>&nbsp;using OpenAI, Anthropic, or open-source LLMs</li>\n  <li>Strong proficiency in&nbsp;<strong>Python</strong>,&nbsp;<strong>FastAPI</strong>,&nbsp;<strong>vector databases</strong>&nbsp;(e.g., FAISS, Weaviate), and&nbsp;<strong>RAG pipelines</strong></li>\n  <li>Experience with&nbsp;<strong>cloud platforms</strong>&nbsp;(GCP preferred),&nbsp;<strong>microservices</strong>, and&nbsp;<strong>API-first development</strong></li>\n  <li>Familiarity with&nbsp;<strong>CI/CD</strong>,&nbsp;<strong>DevOps</strong>, and&nbsp;<strong>observability tools</strong>&nbsp;for AI systems</li>\n </ul>\n <div>\n  &nbsp;\n </div>\n <p><strong>PREFERRED QUALIFICATIONS</strong></p>\n <ul>\n  <li>Experience with&nbsp;<strong>LangGraph</strong>&nbsp;or similar graph-based agent orchestration tools</li>\n  <li>Knowledge of&nbsp;<strong>LLMOps</strong>,&nbsp;<strong>prompt engineering</strong>, and&nbsp;<strong>fine-tuning</strong>&nbsp;or&nbsp;<strong>RAG optimization</strong></li>\n  <li>Experience with&nbsp;<strong>chatbot frameworks</strong>,&nbsp;<strong>voice assistants</strong>, or&nbsp;<strong>multimodal agents</strong></li>\n  <li>Background in&nbsp;<strong>healthcare</strong>,&nbsp;<strong>HIPAA compliance</strong>, or&nbsp;<strong>regulated AI systems</strong></li>\n  <li>Strong understanding of&nbsp;<strong>AI safety</strong>,&nbsp;<strong>alignment</strong>, and&nbsp;<strong>ethical AI design</strong></li>\n  <li>Excellent communication and presentation skills</li>\n </ul>\n <p><strong>Compensation, Benefits and Duration</strong></p>\n <p>Minimum Compensation: USD 48,000<br/>Maximum Compensation: USD 168,000<br/>Compensation is based on actual experience and qualifications of the candidate. 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