Sr. AI FDE
Rochester, NY · On-site
$54.50 - $70.25/hr
... change management -- build golden-path templates, enablement assets, and team workflows so AI ... token-cost and model-routing discipline. • Mentor engineers during build and deployment ...
Sr. AI FDE
Rochester, NY · On-site
$54.50 - $70.25/hr
... change management -- build golden-path templates, enablement assets, and team workflows so AI ... token-cost and model-routing discipline. • Mentor engineers during build and deployment ...
Communicate regularly with Engagement Managers (Directors), project team members, and ... Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools.
Communicate regularly with Engagement Managers (Directors), project team members, and ... Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools.
Microsoft D365 ERP (F&O) + AI/Copilot Functional Consultant, Manager
Rochester, NY · On-site
$99K - $232K/yr
Medical
Dental
Vision
Retirement
PTO
Industry/Sector Not Applicable Specialism Microsoft Management Level Manager & Summary A career in ... Azure, Power Platform and Power BI. To really stand out and make us fit for the future in a ...
Microsoft D365 ERP (F&O) + AI/Copilot Functional Consultant, Manager
Rochester, NY · On-site
$99K - $232K/yr
Medical
Dental
Vision
Retirement
PTO
Industry/Sector Not Applicable Specialism Microsoft Management Level Manager & Summary A career in ... Azure, Power Platform and Power BI. To really stand out and make us fit for the future in a ...
Azure Cost Management information
See Rochester, NY salary details
$38.5K - $48.2K
1% of jobs
$48.2K - $57.9K
2% of jobs
$57.9K - $67.5K
2% of jobs
$67.5K - $77.2K
4% of jobs
$77.2K - $86.9K
9% of jobs
$93.2K is the 25th percentile. Wages below this are outliers.
$86.9K - $96.6K
11% of jobs
The median wage is $106.3K / yr.
$96.6K - $106.3K
21% of jobs
$106.3K - $116K
19% of jobs
$118.9K is the 75th percentile. Wages above this are outliers.
$116K - $125.7K
19% of jobs
$125.7K - $135.4K
7% of jobs
$135.4K - $145K
4% of jobs
$38.5K
$105.6K
$145K
How much do azure cost management jobs pay per year?
As of Aug 18, 2026, the average yearly pay for azure cost management in Rochester, NY is $105,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $119,900.00 per year, depending on experience, location, and employer.
What is Azure Cost Management?
Azure Cost Management is a suite of tools provided by Microsoft to help organizations monitor, allocate, and optimize their spending on Azure cloud services. It enables users to analyze cloud usage, set budgets, forecast future costs, and identify potential savings opportunities. By providing detailed reports and insights, Azure Cost Management helps businesses control their cloud expenses and make informed financial decisions.
What are the key skills and qualifications needed to thrive in Azure Cost Management, and why are they important?
To excel in Azure Cost Management, you need expertise in cloud computing, financial analysis, and a solid understanding of Microsoft Azure's pricing models and billing structures. Familiarity with Azure Cost Management tools, Power BI, and relevant certifications such as Azure Fundamentals or Azure Administrator is typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret usage data and convey savings recommendations to stakeholders. These skills are vital for optimizing resource allocation, controlling expenses, and ensuring cost efficiency within cloud environments.
What are some common challenges faced by professionals working in Azure Cost Management, and how can they be addressed?
Professionals in Azure Cost Management often face challenges such as tracking cloud spending across multiple departments, identifying cost optimization opportunities, and ensuring compliance with organizational budgets. To address these issues, collaboration with finance teams and technical stakeholders is crucial, as is the use of automated tools and dashboards for real-time monitoring. Staying updated on Azure pricing models and leveraging built-in cost analysis features can help manage and forecast expenses more accurately, supporting both cost efficiency and operational goals.
What is the difference between Azure Cost Management vs Cloud Financial Analyst?
| Aspect | Azure Cost Management | Cloud Financial Analyst |
|---|---|---|
| Primary Focus | Monitoring and optimizing cloud costs within Azure | Analyzing and managing overall cloud financial performance across multiple providers |
| Certifications | Azure certifications, cloud cost management tools | Finance, data analysis, cloud certifications beneficial |
| Work Environment | Cloud platforms, Azure portal, cost dashboards | Financial departments, cloud teams, data analysis tools |
| Industry Usage | Organizations using Azure cloud services | Companies managing multi-cloud or cloud-based financial planning |
Azure Cost Management focuses on optimizing costs within Azure cloud services, while a Cloud Financial Analyst evaluates overall cloud expenses and financial strategies across multiple platforms. Both roles require understanding cloud billing, but the former is more technical and platform-specific, whereas the latter emphasizes financial analysis and planning.
What are popular job titles related to Azure Cost Management jobs in Rochester, NY?
For Azure Cost Management jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Azure Cost Management jobs in Rochester, NY look for?
The top searched job categories for Azure Cost Management jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Azure Cost Management jobs?
Cities near Rochester, NY with the most Azure Cost Management job openings:
$54.50 - $70.25/hr
Full-time
Re-posted 10 days ago
Job description
Job Summary:
MegazoneCloud US is a company that helps innovative organizations adopt effective AI solutions. They are seeking a Senior AI Forward Deployed Engineer to work directly with clients, driving the adoption of AI platforms and ensuring successful integration and production of generative AI solutions.
Responsibilities:
• Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations — owning the outcome end to end.
• Design, build, and deploy LLM-powered applications — including RAG pipelines, agentic workflows, and orchestration frameworks — integrated with client data stores, APIs, and security controls.
• Stand up the AWS and Google Cloud environments needed for AI services — enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup.
• Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
• Lead adoption and change management — build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
• Define and instrument success — adoption, business impact, and ROI metrics — and iterate post-launch until targets are met.
• Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer.
• Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements.
• Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline.
• Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.
• Serve as an escalation point during go-live and hyper-care.
• Support pursuit teams with solution diagrams, scoping, and engagement estimation.
• Present technical vision and adoption strategy to C-suite and enterprise architects.
• Publish blog posts, white papers, and internal knowledge articles.
Qualifications:
Required:
• 8–10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform — AWS or Google Cloud preferred (Azure a plus).
• Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) — prompt engineering, RAG, and agentic systems.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
• Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
• Proven client-facing communication skills — able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
• Experience mentoring engineers.
• Strong grasp of DevSecOps, SRE, and FinOps principles.
• Experience architecting data platforms and integrating AI/ML services.
• Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud — self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
• Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
• Bachelor’s degree in Computer Science or similar.
• Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus.
Preferred:
• Experience leading technology-adoption or developer-enablement programs is a strong plus.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
MegazoneCloud US is a company that helps innovative organizations adopt effective AI solutions. They are seeking a Senior AI Forward Deployed Engineer to work directly with clients, driving the adoption of AI platforms and ensuring successful integration and production of generative AI solutions.
Responsibilities:
• Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations — owning the outcome end to end.
• Design, build, and deploy LLM-powered applications — including RAG pipelines, agentic workflows, and orchestration frameworks — integrated with client data stores, APIs, and security controls.
• Stand up the AWS and Google Cloud environments needed for AI services — enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup.
• Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
• Lead adoption and change management — build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
• Define and instrument success — adoption, business impact, and ROI metrics — and iterate post-launch until targets are met.
• Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer.
• Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements.
• Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline.
• Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.
• Serve as an escalation point during go-live and hyper-care.
• Support pursuit teams with solution diagrams, scoping, and engagement estimation.
• Present technical vision and adoption strategy to C-suite and enterprise architects.
• Publish blog posts, white papers, and internal knowledge articles.
Qualifications:
Required:
• 8–10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform — AWS or Google Cloud preferred (Azure a plus).
• Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) — prompt engineering, RAG, and agentic systems.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
• Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
• Proven client-facing communication skills — able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
• Experience mentoring engineers.
• Strong grasp of DevSecOps, SRE, and FinOps principles.
• Experience architecting data platforms and integrating AI/ML services.
• Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud — self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
• Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
• Bachelor’s degree in Computer Science or similar.
• Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus.
Preferred:
• Experience leading technology-adoption or developer-enablement programs is a strong plus.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.