CrawlJobs Logo

Generative AI Fabric Engineering

congruentsoft.com Logo

Congruent

Location Icon

Location:
India , Chennai

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Congruent is seeking to support Generative AI Fabric development through its engineering team. The company’s engineers (“Vendor Personnel”) should have deep expertise in machine learning, large language models, advanced deep learning, data engineering, prompt optimization, and model fine-tuning. Familiarity with PyTorch or TensorFlow and experience deploying AI solutions on AWS, Azure, or GCP are essential. The team must also demonstrate a strong understanding of ethical AI practices, including bias mitigation, fairness, and regulatory compliance.

Job Responsibility:

  • Design and build production-grade Generative AI systems, including LLM, RAG, and agent-based applications
  • Develop robust data pipelines, evaluation frameworks, and ensure system reliability
  • Optimize model architecture and inference/training stacks for performance and cost efficiency
  • Manage large-scale OpenSearch clusters and build ingestion pipelines for high-quality indexing and retrieval
  • Create reusable solution patterns and reference implementations
  • Troubleshoot issues across the ML lifecycle: data preparation, training, fine-tuning, evaluation, and serving
  • Collaborate with product management, research, and engineering teams, present at events and conferences
  • Sprint-based goals to deliver software enhancements and bug fixes for 360E services
  • Ongoing support for the 360E customer base to resolve issues and determine implementation needs
  • Other support as determined in application release roadmap

Requirements:

  • BS/MS in Computer Science or related field
  • 10+ years of experience in distributed/cloud software development
  • Exceptional written and verbal communication skills
  • Demonstrated experience designing, implementing, and operating scalable AI/LLM systems in production
  • Hands-on expertise with LLM and Generative AI techniques, including parameter-efficient fine-tuning (e.g., LoRA/QLoRA), instruction tuning, and advanced prompt strategies
  • Practical experience with RAG architectures, vector search, and related tooling (OpenSearch, vector databases, PostgreSQL, Kafka)
  • Proficiency in Python and shell scripting
  • Experience with LLM frameworks and LLMOps tools (LangChain, LlamaIndex, MLflow, KServe, Kubeflow, Triton)
  • Proven ability to design data collection/annotation workflows and systematic evaluation for production quality

Nice to have:

  • Strong publication record in top-tier venues is a plus
  • Advanced degree (MS/PhD) preferred
  • Expertise in RAG solution architecture and knowledge stores (OpenSearch + vector stores)
  • Experience delivering Generative AI and agent solutions
  • Familiarity with multimodal modeling and modern computer vision
  • Experience with LLM serving technologies (e.g., DeepSpeed, FasterTransformer)
  • Public cloud experience
  • strong understanding of IaaS/PaaS and competitive cloud capabilities
  • Experience with fine-tuning (PEFT) and multi-task serving techniques
  • Deep understanding of Transformers, training methods, and optimizers
  • frameworks: PyTorch, JAX, or TensorFlow

Additional Information:

Job Posted:
January 01, 2026

Icon
Congruent - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Generative AI Fabric Engineering

AI Solutions Engineer – Generative AI

We are looking for an AI Solutions Engineer with expertise in Generative AI to d...
Location
Location
Vietnam , Ho Chi Minh
Salary
Salary:
Not provided
tcdata.vn Logo
TC Data
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in developing AI solutions, with a focus on chatbot development and deployment
  • Proficiency in Python and experience with frameworks such as LangChain or Azure Bot Framework
  • Hands-on experience with Azure OpenAI Service, Microsoft Fabric, and Microsoft Teams
  • Strong understanding of Natural Language Processing (NLP) and Machine Learning (ML)
  • Familiarity with data security and compliance standards in enterprise environments.
Job Responsibility
Job Responsibility
  • Design and develop Generative AI-powered chatbots using Azure OpenAI Service or Microsoft Copilot Studio, integrated with data from Microsoft Fabric
  • Implement Retrieval-Augmented Generation (RAG) pipelines, including data chunking, embedding, indexing, and semantic search, to enable context-aware responses
  • Integrate chatbots into Microsoft Teams, ensuring seamless user experiences and adherence to organizational policies
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Ensure security, compliance, and scalability of AI solutions within the enterprise environment
  • Stay updated with the latest advancements in Generative AI and Microsoft technologies to continuously improve solution offerings.
What we offer
What we offer
  • Be at the forefront of Generative AI innovation within the Microsoft ecosystem
  • Collaborate with a dynamic team of experts in Data & AI
  • Competitive salary and performance-based incentives
  • Opportunities for professional growth and certifications
  • Flexible working arrangements and a supportive work environment.
  • Fulltime
Read More
Arrow Right

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...
Location
Location
Poland , Wroclaw
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
  • Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
  • Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
  • Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
  • Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
  • Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
  • Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
  • Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
  • Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
  • A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision
Job Responsibility
Job Responsibility
  • Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
  • Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
  • Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
  • Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
  • Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
  • Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
  • Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs
What we offer
What we offer
  • Paid Vacation
  • Sick Days
  • Sport/Insurance Compensation
  • English Classes
  • Charity
  • Training Compensation
Read More
Arrow Right

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...
Location
Location
Turkey , Istanbul
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
  • Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
  • Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
  • Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
  • Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
  • Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
  • Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
  • Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
  • Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
  • A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision
Job Responsibility
Job Responsibility
  • Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
  • Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
  • Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
  • Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
  • Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
  • Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
  • Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs
What we offer
What we offer
  • Paid Vacation
  • Hybrid Work (home/office)
  • Sick Days
  • Sport/Insurance Compensation
  • Holidays Day Off
  • English Classes
  • Training Compensation
  • Transportation compensation
Read More
Arrow Right

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...
Location
Location
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
  • Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
  • Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
  • Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
  • Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
  • Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
  • Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
  • Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
  • Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
  • A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision
Job Responsibility
Job Responsibility
  • Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
  • Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
  • Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
  • Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
  • Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
  • Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
  • Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs
What we offer
What we offer
  • Paid Vacation
  • Sick Days
  • Floating Holidays
  • Sport/Insurance Compensation
  • English Classes
  • Charity
  • Training Compensation
Read More
Arrow Right

Principal Sourcing Engineer - AI Scale Up & Switch

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organ...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Business, Supply Chain Management, Engineering, Materials Science, or related field AND 6+ years experience in procurement, supply chain, sourcing, engineering, operations, or relevant sales-related roles OR Bachelor's degree in Business, Supply Chain Management, Engineering, Materials Science, or related field AND 8+ years experience in procurement, supply chain, sourcing, engineering, operations, or relevant sales-related roles OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: 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
Job Responsibility
  • Act as a technical trusted advisor for AI scale-up and scale-out interconnect technologies, including high-speed Ethernet/ESUN, NVLink/NVSwitch-class fabrics, and emerging AI-optimized switching architectures
  • Partner with Azure engineering and and system architecture teams to translate AI workload requirements (latency, bandwidth, topology, power, reliability) into sourcing and supplier strategies
  • Evaluate next-generation technologies across switch silicon, optical/electrical interconnects, cables, transceivers, and system-level fabrics to inform Azure roadmaps
  • Lead deep technical engagements with strategic suppliers (switch silicon vendors, system OEMs/ODMs, optics providers, and emerging startups)
  • Drive supplier technical alignment with Azure requirements, including performance targets, feature roadmaps, power efficiency, manufacturability, and long-term scalability
  • Influence supplier roadmaps through early-stage co-development, design reviews, and proof-of-concept evaluations
  • Define sourcing strategies that balance performance, cost, capacity, resilience, and time-to-market
  • Identify and mitigate technology and supply risks, including single-source dependencies, yield constraints and ecosystem bottlenecks
  • Support make-vs-buy decisions and multi-vendor strategies for critical AI interconnect components
  • Serve as a bridge between engineering, operations, supply chain, finance, and executive stakeholders, providing clear technical guidance and trade-off analysis
  • Fulltime
Read More
Arrow Right

Senior SOC Fabric Verification Engineer

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the...
Location
Location
United States , Hillsboro
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • These requirements include but are not limited to the following specialized security screenings: 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
Job Responsibility
  • Own verification of complex flows at the SOC or subsystems levels
  • Learn about the design and interact with partner teams to define verification strategies and test plans
  • Develop verification environments and run and debug simulations to drive quality
  • Apply random-stimulus and coverage-based techniques to find bugs and meet test plan goals
  • Innovate to improve verification efficiency through methodologies or tools
  • Apply industry leading generative AI solutions to verification work
  • Coach and mentor others in your areas of expertise
  • Demonstrate Microsoft core values: Customer Focus, Adaptability, Collaboration, Growth Mindset, Drive for Results, Influence for Impact, Judgement, and Diversity & Inclusion
  • Fulltime
Read More
Arrow Right
New

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR Master’s Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR equivalent experience
  • 6+ years technical sales experience
  • 6+ years project management experience
  • Technical or Professional Certification in AI Domain
  • Inclusive and collaborative – driving teamwork and cross-team alignment
  • Strong partner relationship management and solution development skills
  • Conversant knowledge of competing platforms and solutions
  • Proven track record of building deep relationships with CXOs
Job Responsibility
Job Responsibility
  • Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers
  • Collaborate with enterprise customers to scope and define requirements, architect and design solutions, and deliver transformational, customized industry solutions and services, including AI-powered applications
  • Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
  • Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and transformation to our customers’ product roadmap
  • Be a Voice of Customer to share insights and best practices, connect with Engineering teams to remove key blockers and drive product improvements
  • Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions—including AI, machine learning, and generative AI—into current designs
  • Evaluate, identify, mitigate and eliminate risk, provide guidance, and propose immediate solutions
  • Communicate effectively with all stakeholders, including senior customer executives, Enterprise Architects, Developers, Data Scientists, and IT Management
  • Lead deep technical architecture discussions and development of POCs, including AI solution prototypes
  • Guide customers to production deployment and operationalization of both application and AI solutions
  • Fulltime
Read More
Arrow Right
New

Principal Engineer – AI and Data Science

You will be part of the core team at GE Vernova Electrification Software (GEV ES...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
gevernova.com Logo
GE Vernova
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 18 years of experience
  • Must have experience building systems or components of AI system including semantic modeling, distributed data management software
  • Have deep mastery of at least one of: C#, C/C++, Java, Kotlin, Rust, Scala, or other systems/primary enterprise language that is used in data systems
Job Responsibility
Job Responsibility
  • Be responsible for providing technical leadership and defining, developing, and building our next generation data fabric system with focus on semantic modeling, data catalog development, data access and integration layers software in a fast paced and agile development environment
  • Drive innovation in our database systems and drive next level of performance, correctness, durability, and scalability of our data systems by bringing in AI and next generation modeling technologies
  • Feel passionate about developing high performance distributed systems with focus on key database concepts like concurrency control, consensus algorithms, replication, serializability theory, and view maintenance
  • Work on developing next generation AI technologies such as Text Mining, Machine Learning, Deep Learning to improve product capabilities and development processes
  • Provide guidance to developers with either planning and execution and/or design architecture using agile methodologies such as SCRUM
  • Work with Product Line Leaders (PLLs) to understand product requirements & develop a strategy and vision
  • Capture system level requirements by brainstorming with CTO, Sr. Architects, Data Scientists, Businesses & Product Managers
  • Leads impact assessment and decision related to technology choices, design /architectural considerations, and implementation strategy
  • Subject matter expert in AI, data quality, data systems and related technologies with ability to adapt and improvise in various situations. Expert in navigating through ambiguity and prioritizing conflicting asks
  • Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands
What we offer
What we offer
  • Relocation Assistance Provided: Yes
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy