Technology Architect - EV

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Technology Architect - EV Role Overview We are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact. This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value. Key Responsibilities - Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems. - Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads. - Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks. - Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks. - Lead AI infrastructure strategy including GPU optimization and high-performance compute environments. - Build and scale AI platforms across AWS, Azure, and GCP ecosystems. - Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains. - Architect Edge AI solutions for low-latency, distributed decision-making systems. - Establish governance for responsible AI, security, and compliance. - Mentor teams and drive innovation and capability development. Required Qualifications - 10+ years of experience in AI/ML, Data Science, or Technology Architecture. - Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems. - Proficient in Python, APIs, microservices, and data engineering frameworks. - Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.

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