Senior Solution Engineer—Enterprise AI Readiness / Microsoft Data Governance Job at Sales Talent Inc (Los Angeles)

Senior AI Engineer – Microsoft Fabric & Azure AI Foundry

We are looking for an experienced AI Engineer to lead the implementation of Azur...

Location

United States , New York City

Salary:

160000.00 - 220000.00 USD / Year

Valtech

Expiration Date

Until further notice

Requirements

5+ years of experience in cloud engineering, AI engineering, or data platform architecture
Strong hands-on experience with: Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Data Services
Experience integrating AI workloads into enterprise analytics platforms
Proficiency in Python and/or C#
Experience with REST APIs, SDKs, and AI orchestration frameworks
Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring
Familiarity with DevOps practices including GitHub Actions or Azure DevOps
Strong understanding of enterprise security and governance

Job Responsibility

Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture
Integrate AI services with Fabric components including: Data Factory, OneLake, Power BI, Lakehouse and Warehouse environments, Real-Time Analytics
Build and operationalize generative AI and machine learning workflows
Configure and manage: Azure AI Services, Azure OpenAI, Model deployment pipelines, Prompt orchestration and evaluation
Establish secure connectivity between Azure AI Foundry and enterprise data sources
Implement governance, RBAC, security, compliance, and cost management controls
Develop reusable AI pipelines, APIs, and automation frameworks
Collaborate with platform teams to ensure scalability, observability, and production readiness
Support CI/CD and Infrastructure-as-Code deployment patterns
Provide technical leadership and documentation for AI platform adoption

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Enterprise Agentic AI Engineer

Planet DDS is building a centralized intelligence layer focused on transforming ...

Location

United States , Irvine

Salary:

177000.00 - 221000.00 USD / Year

Planet DDS

Expiration Date

Until further notice

Requirements

5-7 years of experience in software engineering or applied machine learning
2+ years building production deployments of agentic AI systems (tool‑using LLMs or multi‑agent workflows) with measurable business outcomes
Demonstrated experience productionizing AI or LLM-based systems
Proficiency in Python/TypeScript and building API‑first services with CI/CD
Hands-on experience with prompt engineering, evaluation, and optimization
Working knowledge of enterprise lakehouse architectures, including Delta Lake, medallion patterns, streaming ingestion, governance (Unity Catalog), and designing data layers that support high‑performance AI/agentic workflows
Proven ability to integrate Azure OpenAI or similar LLM platforms into orchestrated workflows
Experience designing and orchestrating multi-step, event-driven workflows using modern cloud-native services for serverless execution, workflow orchestration, messaging, and event-driven architecture
Experience designing and deploying cloud-native AI workflows in Microsoft Azure
Demonstrated ability to implement guardrails, output validation, and human‑in‑the‑loop patterns in production

Job Responsibility

Design, build, and scale production-grade agentic workflows that observe operational signals, reason across data, and take or recommend actions such as alerts, task creation, and decision support
Implement multi‑agent patterns (planner/worker, toolformer, delegate/reviewer) with deterministic and human‑in‑the‑loop controls
Architect an agentic intelligence layer atop the enterprise data lakehouse
Own the AI execution layer, including prompt architecture, orchestration, evaluation, monitoring, logging, and tool creation including but not limited to MCP
Translate business needs and operational challenges into clear technical approaches and delivery plans, resulting in scalable, reusable AI solutions
Partner closely with data engineering to define AI-ready schemas and data contracts
Instrument workflows with tracing, cost/perf dashboards, evaluation harnesses (automated + human), and drift monitoring
Ensure AI systems are secure, governed, auditable, and reliable
Drive solutions from concept to production without heavy process or handoffs

What we offer

Medical, dental and vision insurance
Health Savings Account
Flexible Spending Accounts
Telehealth
401(k) and 401(k) match
Life and AD&D insurance
Short-Term and Long-Term Disability
FTO or Vacation
Sick Time
Employee Well-Being program

Fulltime

Senior Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Senior Cloud Solution Architect – Cloud & AI Data Platform ...

Location

United States , Multiple Locations

Salary:

106400.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Senior Data Engineer

Senior Data Engineer - The Senior Data Engineer is responsible for executing the...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Minimum 5-8 years experience Data Engineering
with experience in Azure using Databricks
Bachelor’s degree Required
Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
Lakehouse experience using Databricks
Azure platform administration
Data Governance Software experience
Microsoft Power BI delivery and support
Strong SQL query skills
Strong history in Python, Pyspark, or Scala

Job Responsibility

Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments
Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks
Operationalize data quality by integrating Informatica IDQ into finance workflows
Apply governance standards by embedding metadata, cataloging, and lineage practices

Fulltime

Senior Data Engineer

The Windows and Devices mission is to build innovative, trusted, and open produc...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related field OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field OR equivalent experience
Have experience building cloud-based data pipelines and data stores
7+ years of experience in data engineering or a similar role
Proficiency in programming languages such as Python, Scala or Java
Strong experience with SQL and database technologies
Familiarity with big data technologies (e.g., Hadoop, Spark)
Strong working knowledge of Microsoft Fabric components and ecosystems (e.g., OneLake, Data Factory, Synapse)

Job Responsibility

Lead critical initiatives to help our data platform scale to the needs of business priorities and technology advancements
Build scalable data models and pipelines to extract, load, and transform data, ensuring secure storage with a focus on data quality and compliance on Azure using services such as ADF, HDInsight, Fabric, and Synapse
Design and develop datasets that enable an AI-ready data platform supporting AI/ML pipelines, feature engineering, and Copilot applications
Provide technical leadership across the team by mentoring engineers and leading solution implementation in alignment with approved business and data requirements
Implement and Lead CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps
Anticipate data governance needs, design modeling and handling procedures, and ensure compliance with laws and policies governing data accessibility
Lead the design and maintenance of enterprise ontologies and semantic models to support AI and knowledge graph initiatives

Fulltime

Senior AI Engineering Specialist

Wissen Technology is hiring for Senior AI Engineering Specialist: About Wissen ...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

6 – 20 Years of experience
BE/BTech/MBA/MCA or equivalent degree in Computer Science
12+ years of software engineering experience with at least 3 years designing and deploying production GenAI/LLM applications
Experience in Banking, Financial Services, or Capital Markets domain
Strong expertise in Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, and Prompt Flow
Hands-on experience building RAG solutions, semantic search, embeddings, vector databases, reranking, retrieval optimization, and evaluation frameworks
Strong experience with Agentic AI, Microsoft Agent Framework (Semantic Kernel/AutoGen), LangChain, LangGraph, tool calling, and multi-agent orchestration
Expert-level Python development including asynchronous programming and prompt engineering
Experience with Snowflake Cortex AI, Microsoft Fabric, Azure Databricks, or similar enterprise data platforms
Strong understanding of LLMOps, observability, CI/CD (Azure DevOps/GitHub), AKS, Azure Functions, App Services, and performance optimization

Job Responsibility

Partner with business and engineering teams to identify, prioritize, and deliver high-impact GenAI use cases based on business value, feasibility, and risk
Design and define enterprise AI architecture using Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, and reusable GenAI patterns
Architect and develop production-ready AI solutions including Retrieval-Augmented Generation (RAG), Agentic AI workflows, prompt orchestration, model selection, grounding, and enterprise integrations
Implement Responsible AI practices by incorporating AI governance, content safety, model evaluation, access controls, auditability, and regulatory compliance
Mentor engineering teams, conduct architecture and design reviews, and establish best practices across LLMOps and enterprise AI development
Build scalable AI platforms with robust evaluation frameworks, observability, monitoring, cost optimization, and CI/CD pipelines
Collaborate with cross-functional teams to improve productivity, accelerate time-to-market, and measure AI solution outcomes against business objectives
Participate in architecture discussions, technical strategy, innovation initiatives, and proof-of-concepts for enterprise AI adoption

Fulltime

Senior AI Platform Architect

As an AI Platform Architect II at Teradyne, you will be a pivotal leader at the ...

Location

United States , North Reading

Salary:

139900.00 - 223900.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

6-8 years in Information Technology including Enterprise Architecture and AI/ML/GenAI Engineering. Proven experience in designing and implementing large-scale, enterprise-wide AI solutions.
Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field required
Deep understanding of AI and machine learning concepts, including generative AI, large language models (LLMs), and MLOps.
Expertise in designing and building solutions on cloud platforms, with a strong preference for Microsoft Azure and a working knowledge of Google Cloud Platform.
Hands-on experience with and a deep architectural understanding of our core AI and data platforms: Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI (including the future Azure AI Foundry), Google Vertex AI, and Snowflake Cortex AI.
Strong knowledge of data architecture, data governance, and data security best practices.
Familiarity with Infrastructure as Code (IaC) and CI/CD principles.
Exceptional leadership and communication skills, with the ability to articulate a clear vision and influence stakeholders at all levels of the organization.
Analytical mindset with a focus on delivering measurable business outcomes.
Strong strategic thinking and business acumen, with the ability to connect technology solutions to business value.

Job Responsibility

Design and evangelize a cohesive, enterprise-wide AI and Data architecture.
Create the blueprint for a scalable and secure ecosystem that leverages investments in Microsoft 365 & Copilot, Azure Foundry, Google Vertex AI, and Snowflake Cortex AI.
Guide the selection of AI tools, define the data integration strategy, and establish reusable patterns for agentic development.
Be a key change agent, responsible for embedding AI into the fabric of the business
Bridge the gap between strategy and execution by fostering an AI-ready culture, building institutional literacy.
Architect and operationalize the enterprise AI strategy by developing a comprehensive architectural blueprint and component-level roadmap.
Lead the design of a unified AI ecosystem that integrates our core platforms.
Establish and champion architectural standards, reusable MLOps & LLMOps patterns, and best practices.
Architect and lead the strategy for a centralized Model Context Protocol (MCP) Server.
Evaluate emerging AI technologies, frameworks, and methodologies, making strategic recommendations.

What we offer

Medical
Dental
Vision
Flexible Spending Accounts
Retirement savings plans
Life and disability insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

Senior Solution Architect

Microsoft is seeking a Senior Solution Architect who is passionate about AI and ...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 4+ years experience in technical program/product management, coding, software development/delivery work OR equivalent experience
3+ years of customer-facing experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Own and deliver the end‑to‑end FastTrack experience for customers, ensuring consistent, high‑quality engagement across strategic accounts
Provide proactive architectural guidance to help customers avoid risks, remove technical roadblocks, and accelerate time to value
Lead and shape AI adoption for customers, including guidance on Dynamics 365 Copilot, first‑party and custom agents, and AI‑enabled business processes
Partner with customers to define and execute AI transformation roadmaps that align to business outcomes, responsible AI principles, and enterprise readiness
Continuously improve the FastTrack for Dynamics 365 experience by collaborating internally to influence product capabilities, processes, and policies - while capturing actionable insights and data
Evangelize FastTrack and Microsoft’s AI vision across field sales, engineering, support, Dynamics partners, and customers

What we offer

A culture that fosters continuous learning, experimentation, and growth in AI and cloud technologies
The opportunity to work with strategic enterprise customers on AI‑driven business transformation
Close collaboration with the engineering teams responsible for the design, development, and release of Dynamics 365 and AI capabilities
The ability to influence product direction and help shape the future of AI‑powered enterprise applications

Fulltime

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Senior Solution Engineer—Enterprise AI Readiness / Microsoft Data Governance

Job Description

Job Responsibility

Requirements

What we offer

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