Technical architect serp_jobs.h1.location_city
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Technical architect • santa clara ca
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As a Technical Architect specializing in LLMs and Agentic AI, you will own the architecture, strategy, and delivery of Enterprise‑grade AI solutions.
Work with cross‑functional teams and customers t...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Technical / Functional Skills Responsibilities •As a Technical Architect, you will be responsible for designing, developing, and implementing software solutions to address complex business problems a...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Architect Job Duties : Researches, programs, plans, designs, and administers buildi...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Architect Job Duties : Researches, programs, plans, designs, and administers buil...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
There is energy here…energy you can feel crackling at any of our international locations.It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers.L...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
SummaryAt PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency.These individu...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features.This range is provided by Aquent.
Your actual pay will be based on your skills and experience — talk wi...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_1_day
A company is looking for a Technical Architect to design and standardize developer and operational toolchains for cloud workloads.
Key Responsibilities Design and optimize the end-to-end toolchain...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to architect the future of agentic AI at scale.
We Implement AI agents to transform employee productivity and...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Job Title : Sr Staff Architect Google Tech Platform.Location : San Francisco CA 94103.Build and develop strong relationships with technical leaders across Google creating trusted partnerships deliver...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Lattice Overview There is energy here…energy you can feel crackling at any of our international locations.It’s an energy generated by enthusiasm for our work, for our teams, for our results, and fo...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_hours
This is a Hybrid role in San Jose CA.Senior ServiceNow Solutions Technical Architect.This senior role is essential in shaping scalable secure and high-performing ServiceNow solutions that deliver r...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere o...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
As a data management and integration lead, you will be part of a high performance team chartered to deliver enterprise-wide solutions.
In this role, you will be responsible for designing, implementi...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Are you interested in working with the world's leading AI-powered Quality Engineering company? Ready to advance your career, team up with global thought leaders across industries, and make a differ...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Drive partner initiatives and projects through the entire project lifecycle including.Consult with partners and internal stakeholders to advise on technical solutions and.Guarantee the technical as...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Join us as we accelerate the worlds adoption of safe and intelligent machines.As part of a growing team in a fast-paced environment, you will own projects from day one and receive mentorship from i...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
Position : Salesforce (SFDC) Architect Location : Milpitas, CA Duration : Long Term Contract (Remote till Covid) Type : Contract Please find the detailed job description : REQUIRED Ten plus years ...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_30
Changing the world through digital experiences is what Adobe’s all about.We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital exper...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
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job_description.job_card.job_descriptionAs a Technical Architect specializing in LLMs and Agentic AI, you will own the architecture, strategy, and delivery of Enterprise‑grade AI solutions. Work with cross‑functional teams and customers to define the AI roadmap, design scalable solutions, and ensure responsible deployment of Generative AI across the organization. Architect Scalable GenAI Solutions – Lead the design of enterprise architectures for LLM and multi‑agent systems, ensuring scalability, resilience, and security across Azure and GCP platforms Technology Strategy & Guidance – Provide strategic technical leadership to customers and internal teams, aligning GenAI projects with business outcomes LLM & RAG Applications – Architect and guide development of LLM‑powered applications, assistants, and RAG pipelines for structured and unstructured data Agentic AI Frameworks – Define and implement agentic AI architectures leveraging frameworks like LangGraph, AutoGen, DSPy, and cloud‑native orchestration tools Integration & APIs – Oversee integration of OpenAI, Azure OpenAI, and GCP Vertex AI models into enterprise systems, including MuleSoft Apigee connectors LLMOps & Governance – Establish LLMOps practices (CI / CD, monitoring, optimization, cost control) and enforce responsible AI guardrails (bias detection, prompt injection protection, hallucination reduction) Enterprise Governance – Lead architecture reviews, governance boards, and technical design authority for all LLM initiatives Collaboration – Partner with data scientists, engineers, and business teams to translate use cases into scalable, secure solutions Documentation & Standards – Define and maintain best practices, playbooks, and technical documentation for enterprise adoption Monitoring & Observability – Guide implementation of AgentOps dashboards for usage, adoption, ingestion health, and platform performance visibility Innovation & Research – Stay ahead of advancements in OpenAI, Azure AI, and GCP Vertex AI, evaluating new features and approaches for enterprise adoption Ecosystem Expertise – Remain current on Azure AI services (Cognitive Search, AI Studio, Cognitive Services) and GCP AI stack (Vertex AI, BigQuery, Matching Engine) Business Alignment – Collaborate with product and business leadership to prioritize high‑value AI initiatives with measurable outcomes Mentorship – Coach engineering teams on LLM solution design, performance tuning, and evaluation techniques Proof of Concepts – Lead or sponsor PoCs to validate feasibility, ROI, and technical fit for new AI capabilities Experience 10+ years of experience in AI / ML‑related roles, with a strong focus on LLM’s & Agentic AI technology Generative AI Solution Architecture (2-3 years) –– Proven experience in designing and architecting GenAI applications, including Retrieval‑Augmented Generation (RAG), LLM orchestration (LangChain, LangGraph), and advanced prompt design strategies Backend & Integration Expertise (5+ years) –– Strong background in architecting Python‑based Microservices, APIs, and orchestration layers that enable tool invocation, context management, and task decomposition across cloud‑native environments (Azure Functions, GCP Cloud Functions, Kubernetes) Enterprise LLM Architecture (2-3 years) –– Hands‑on experience in architecting end‑to‑end LLM solutions using Azure OpenAI, Azure AI Studio, Hugging Face models, and GCP Vertex AI, ensuring scalability, security, and performance RAG & Data Pipeline Design (2-3 years) –– Expertise in designing and optimizing RAG pipelines, including enterprise data ingestion, embedding generation, and vector search using Azure Cognitive Search, Pinecone, Weaviate, FAISS, or GCP Vertex AI Matching Engine LLM Optimization & Adaptation (2-3 years) –– Experience in implementing fine‑tuning and parameter‑efficient tuning approaches (LoRA, QLoRA, PEFT) and integrating memory modules (long‑term, short‑term, episodic) to enhance agent intelligence Multi‑Agent Orchestration (2-3 years) –– Skilled in designing multi‑agent frameworks and orchestration pipelines with LangChain, AutoGen, or DSPy, enabling goal‑driven planning, task decomposition, and tool / API invocation Performance Engineering (2-3 years) –– Experience in optimizing GCP Vertex AI models for latency, throughput, and scalability in enterprise‑grade deployments AI Application Integration (2-3 years) –– Proven ability to integrate OpenAI and third‑party models into enterprise applications via APIs and custom connectors (MuleSoft, Apigee, Azure APIM) Governance & Guardrails (1-2 years) –– Hands‑on experience in implementing security, compliance, and governance frameworks for LLM‑based applications, including content moderation, data protection, and responsible AI guardrails Provide constructive feedback during code reviews and be open to receiving feedback on your own code Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field; Prior experience in working on Agile / Scrum projects with exposure to tools like Jira / Azure DevOps Secondary Skills – Knowledge of MCP’s and A2A SDK; Version Control : Proficiency with Version Control tools like Git; Agile Methodologies – Experience working in Agile development environments
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