I
Senior Azure Data & AI Engineer
Infinite Services
2 hours ago
Full-time
On-site
New York, United States
Join a team that builds solutions for global leaders.
We are an IT services company specializing in building cutting-edge data platforms for large enterprises worldwide. Our solutions help some of the biggest global corporations stay ahead in a fast‑changing digital landscape.
What makes us different?
A team of experienced consultants — mostly senior‑level experts
Real impact on large‑scale, business‑critical systems
A strong focus on quality, innovation, and knowledge sharing
Join Infinite Services to shape data ecosystems for top global brands. We drive innovation, improve customer experiences, and empower decision‑making with cutting‑edge data platforms.
At Infinite Services, you’ll work on impactful, international projects while enjoying real work–life balance in a collaborative and inspiring environment.
About the role We are looking for a Senior Azure Data & AI Engineer to join a high‑impact project for one of our global enterprise customers. You will be a key contributor to designing, building, and maintaining a cloud‑native data solution that powers a multi‑model AI engine. This is a hands‑on engineering role with significant ownership – you will be expected to make architectural decisions, not just execute on specifications. The ideal candidate combines deep Azure data engineering expertise with a security‑first mindset and a track record of building cost‑efficient data & AI solutions.
Key responsibilities
Design and implement data ingestion pipelines from multiple cloud data sources
- including SharePoint Online, SQL databases, and REST APIs - using Azure Data Factory and complementary Azure services (Functions, LogicApps, etc.)
Develop custom Python‑based ingestion and transformation components
where native ADF connectors fall short (propose and justify the right tooling)
Orchestrate and automate
end‑to‑end data pipelines , ensuring reliability, observability, and maintainability
Load and manage structured and unstructured data in
Azure AI Search , including index design and automation, chunking strategies, and document lifecycle management
Collaborate on the integration layer between
Azure AI Search
and a
multi‑model OpenAI‑based AI engine
Apply
security and compliance controls
consistently across all pipeline components
Proactively identify and drive cost optimization and architectural simplification opportunities
Participate in
architecture reviews
and contribute to technical decision‑making
Must‑have skills and experience
5+ years of hands‑on experience with
Azure
data services in production environments
Advanced proficiency with
Azure Data Factory
- including parameterized pipelines, custom activities, triggers, and monitoring
Proficiency in
Python
for data engineering tasks (data transformation, automation)
Practical experience working with
Azure AI Search
(indexes, skillsets, indexers)
Understanding of RAGs, vector search, semantic ranking, and hybrid search patterns
Experience with document chunking strategies and embedding pipelines
Good knowledge of prompt engineering patterns and practices
Solid understanding of
Azure networking and security fundamentals
(VNets, Key Vault, Managed Identities, RBAC)
Hands‑on experience with
Infrastructure‑as‑Code
and
CI/CD for Azure deployments
(Azure DevOps, Bicep/Terraform)
Ability to critically evaluate and simplify existing architectures, not just extend them
Nice‑to‑have skills and experience
Experience with
Azure Web Apps and Azure Cache for Redis
in data‑serving scenarios
Familiarity with
Microsoft Foundry
and
Azure OpenAI in Foundry Models
Exposure to
Snowflake
as a data source for Azure integrations
Prior projects for regulated industries or large global enterprises
What’s in it for you?
Certification & training budget to support your growth
Flexible work model — remote or hybrid, your choice
Access to private medical care & sports card
Additional training opportunities
Supportive, knowledge‑sharing environment with senior experts
Opportunity to grow within a high‑impact, international project
Hiring process
Quick HR call to get to know you
Technical meeting with a Manager or Architect
Feedback & next steps
#J-18808-Ljbffr
We are an IT services company specializing in building cutting-edge data platforms for large enterprises worldwide. Our solutions help some of the biggest global corporations stay ahead in a fast‑changing digital landscape.
What makes us different?
A team of experienced consultants — mostly senior‑level experts
Real impact on large‑scale, business‑critical systems
A strong focus on quality, innovation, and knowledge sharing
Join Infinite Services to shape data ecosystems for top global brands. We drive innovation, improve customer experiences, and empower decision‑making with cutting‑edge data platforms.
At Infinite Services, you’ll work on impactful, international projects while enjoying real work–life balance in a collaborative and inspiring environment.
About the role We are looking for a Senior Azure Data & AI Engineer to join a high‑impact project for one of our global enterprise customers. You will be a key contributor to designing, building, and maintaining a cloud‑native data solution that powers a multi‑model AI engine. This is a hands‑on engineering role with significant ownership – you will be expected to make architectural decisions, not just execute on specifications. The ideal candidate combines deep Azure data engineering expertise with a security‑first mindset and a track record of building cost‑efficient data & AI solutions.
Key responsibilities
Design and implement data ingestion pipelines from multiple cloud data sources
- including SharePoint Online, SQL databases, and REST APIs - using Azure Data Factory and complementary Azure services (Functions, LogicApps, etc.)
Develop custom Python‑based ingestion and transformation components
where native ADF connectors fall short (propose and justify the right tooling)
Orchestrate and automate
end‑to‑end data pipelines , ensuring reliability, observability, and maintainability
Load and manage structured and unstructured data in
Azure AI Search , including index design and automation, chunking strategies, and document lifecycle management
Collaborate on the integration layer between
Azure AI Search
and a
multi‑model OpenAI‑based AI engine
Apply
security and compliance controls
consistently across all pipeline components
Proactively identify and drive cost optimization and architectural simplification opportunities
Participate in
architecture reviews
and contribute to technical decision‑making
Must‑have skills and experience
5+ years of hands‑on experience with
Azure
data services in production environments
Advanced proficiency with
Azure Data Factory
- including parameterized pipelines, custom activities, triggers, and monitoring
Proficiency in
Python
for data engineering tasks (data transformation, automation)
Practical experience working with
Azure AI Search
(indexes, skillsets, indexers)
Understanding of RAGs, vector search, semantic ranking, and hybrid search patterns
Experience with document chunking strategies and embedding pipelines
Good knowledge of prompt engineering patterns and practices
Solid understanding of
Azure networking and security fundamentals
(VNets, Key Vault, Managed Identities, RBAC)
Hands‑on experience with
Infrastructure‑as‑Code
and
CI/CD for Azure deployments
(Azure DevOps, Bicep/Terraform)
Ability to critically evaluate and simplify existing architectures, not just extend them
Nice‑to‑have skills and experience
Experience with
Azure Web Apps and Azure Cache for Redis
in data‑serving scenarios
Familiarity with
Microsoft Foundry
and
Azure OpenAI in Foundry Models
Exposure to
Snowflake
as a data source for Azure integrations
Prior projects for regulated industries or large global enterprises
What’s in it for you?
Certification & training budget to support your growth
Flexible work model — remote or hybrid, your choice
Access to private medical care & sports card
Additional training opportunities
Supportive, knowledge‑sharing environment with senior experts
Opportunity to grow within a high‑impact, international project
Hiring process
Quick HR call to get to know you
Technical meeting with a Manager or Architect
Feedback & next steps
#J-18808-Ljbffr