Energy Jobline ZR
Gen AI Architect - Full Time - Onsite - Dallas, TX - Direct Client - JOBID645 in
Energy Jobline ZR, Dallas, Texas, United States, 75215
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job Description
Key Responsibilities
Define the
GenAI architecture strategy , ensuring alignment with enterprise technology standards, security frameworks, and governance principles. Design and oversee the implementation of
LLM-based applications , integrating large-scale models such as GPT, Claude, Gemini, or custom fine-tuned models into enterprise systems. Partner with business and technology stakeholders to identify
high-value AI use cases
across automation, natural processing, knowledge management, and data enrichment. Evaluate and guide the adoption of
cloud- AI services
(Azure OpenAI, AWS Bedrock, Vertex AI, etc.) and
vector database
technologies (Pinecone, Chroma, Milvus, etc.). Lead
AI model orchestration , retrieval-augmented (RAG) pipelines, and multi-agent workflows to create scalable and context-aware solutions. Establish
best practices
for prompt engineering, model evaluation, performance monitoring, and ethical AI standards. Collaborate with data engineering and DevOps teams to ensure
MLOps readiness , including CI/CD for model deployment and versioning. Mentor cross-functional teams on AI design patterns and help drive
AI literacy and innovation culture
across the organization. Required Qualifications
10+ years of experience in software architecture, with at least 3+ years in
AI/ML solution design
or GenAI-focused implementations. Proven experience designing and deploying
LLM-powered applications
in enterprise environments. Strong knowledge of
Python, REST APIs, vector search, embeddings, and orchestration frameworks
such as LangChain, LlamaIndex, or Semantic Kernel. Experience with
cloud AI ecosystems
(Azure OpenAI, AWS Bedrock, GCP Vertex AI). Understanding of
data governance, privacy, and security
principles related to AI workloads. Excellent communication and stakeholder management skills, with the ability to translate complex AI concepts into actionable business value. Skills
Experience in
retrieval-augmented (RAG) , multi-agent design, or fine-tuning transformer models. Background in
enterprise data architecture , analytics platforms, or cognitive automation. Prior experience working in
real estate, financial services, or large-scale enterprise transformation programs
is a plus. What You’ll Bring
A passion for solving complex business challenges using Generative AI. Ability to bridge the gap between data science, engineering, and enterprise architecture. Leadership presence to influence executive and technical stakeholders alike. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
Key Responsibilities
Define the
GenAI architecture strategy , ensuring alignment with enterprise technology standards, security frameworks, and governance principles. Design and oversee the implementation of
LLM-based applications , integrating large-scale models such as GPT, Claude, Gemini, or custom fine-tuned models into enterprise systems. Partner with business and technology stakeholders to identify
high-value AI use cases
across automation, natural processing, knowledge management, and data enrichment. Evaluate and guide the adoption of
cloud- AI services
(Azure OpenAI, AWS Bedrock, Vertex AI, etc.) and
vector database
technologies (Pinecone, Chroma, Milvus, etc.). Lead
AI model orchestration , retrieval-augmented (RAG) pipelines, and multi-agent workflows to create scalable and context-aware solutions. Establish
best practices
for prompt engineering, model evaluation, performance monitoring, and ethical AI standards. Collaborate with data engineering and DevOps teams to ensure
MLOps readiness , including CI/CD for model deployment and versioning. Mentor cross-functional teams on AI design patterns and help drive
AI literacy and innovation culture
across the organization. Required Qualifications
10+ years of experience in software architecture, with at least 3+ years in
AI/ML solution design
or GenAI-focused implementations. Proven experience designing and deploying
LLM-powered applications
in enterprise environments. Strong knowledge of
Python, REST APIs, vector search, embeddings, and orchestration frameworks
such as LangChain, LlamaIndex, or Semantic Kernel. Experience with
cloud AI ecosystems
(Azure OpenAI, AWS Bedrock, GCP Vertex AI). Understanding of
data governance, privacy, and security
principles related to AI workloads. Excellent communication and stakeholder management skills, with the ability to translate complex AI concepts into actionable business value. Skills
Experience in
retrieval-augmented (RAG) , multi-agent design, or fine-tuning transformer models. Background in
enterprise data architecture , analytics platforms, or cognitive automation. Prior experience working in
real estate, financial services, or large-scale enterprise transformation programs
is a plus. What You’ll Bring
A passion for solving complex business challenges using Generative AI. Ability to bridge the gap between data science, engineering, and enterprise architecture. Leadership presence to influence executive and technical stakeholders alike. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr