Different Levels of AI Position

Hi , Hope you are doing well. We are looking for Different levels of AI position - Remote - Contract with one of our clients. If you are available and interested, then please reply me with details below the Job Description along with your updated resume in Word format. There are 5 different positions please scroll down #1 Position Role: AI Solution Architect Location: Remote Duration: Contract Job Description: • Design and architect end to end AIML and Generative AI solutions aligned with business objectives • Define scalable solution architectures leveraging cloud platforms such as Azure AWS or GCP • Lead the design of GenAI systems using LLMs RAG architectures and prompt engineering techniques • Translate business requirements into technical designs solution blueprints and architecture diagrams • Develop AI solution patterns covering data ingestion model development deployment and monitoring • Ensure implementation of MLOps practices including CICD pipelines model versioning and governance • Architect secure scalable and costoptimized AI platforms using microservices and containerization • Evaluate and recommend appropriate AIMLGenAI approaches based on data and usecase complexity • Work closely with data engineering teams on data pipelines ETL processes and data platform integration • Lead client interactions solution workshops and technical presentations for stakeholders • Define best practices reference architectures and coding standards for AI solution development • Ensure compliance with Responsible AI principles including ethics bias mitigation and explainability • Mentor and guide development teams on AIML technologies and architecture best practices • Monitor solution performance identify risks and proactively recommend optimizations • Stay updated with emerging AI technologies tools and frameworks to drive innovation \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ #2 Position Role: AI Architect Location: Remote Duration: Contract Job Description: • Design and architect endtoend AIML and Generative AI solutions aligned with business objectives • Define scalable solution architectures leveraging cloud platforms such as Azure AWS or GCP • Lead the design of GenAI systems using LLMs RAG architectures and prompt engineering techniques • Translate business requirements into technical designs solution blueprints and architecture diagrams • Develop AI solution patterns covering data ingestion model development deployment and monitoring • Ensure implementation of MLOps practices including CICD pipelines model versioning and governance • Architect secure scalable and costoptimized AI platforms using microservices and containerization • Evaluate and recommend appropriate AIMLGenAI approaches based on data and usecase complexity • Work closely with data engineering teams on data pipelines ETL processes and data platform integration • Lead client interactions solution workshops and technical presentations for stakeholders • Define best practices reference architectures and coding standards for AI solution development • Ensure compliance with Responsible AI principles including ethics bias mitigation and explainability • Mentor and guide development teams on AIML technologies and architecture best practices • Monitor solution performance identify risks and proactively recommend optimizations • Stay updated with emerging AI technologies tools and frameworks to drive innovation \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ #3 Position Role: AI Lead Engineer Location: Remote Duration: Contract Job Description: • Lead the design development and deployment of enterprisescale Generative AI solutions and applications • Develop AIpowered applications using Azure OpenAI Azure AI Foundry Copilot Studio and related AI services • Build and optimize RAG RetrievalAugmented Generation solutions using vector databases and enterprise knowledge sources • Design and implement AI agents and multiagent workflows using LangChain LangGraph Semantic Kernel or AutoGen • Collaborate with architects product owners and business stakeholders to deliver AIdriven business outcomes • Develop scalable APIs microservices and backend integrations for GenAI applications • Lead prompt engineering model tuning and evaluation activities to improve AI response quality and accuracy • Implement LLMOps practices including model monitoring observability performance tuning and governance • Ensure adherence to Responsible AI security compliance and data privacy standards • Mentor and guide developers on AI development best practices coding standards and solution design • Troubleshoot complex production issues and optimize AI workloads for performance and cost efficiency • Integrate GenAI solutions with enterprise platforms such as Microsoft 365 ServiceNow Salesforce and SAP • Stay current with advancements in LLMs Agentic AI multimodal AI and emerging AI frameworks • Contribute to technical proposal development PoCs innovation initiatives and architecture reviews • Required Skills 7 years in software development 3 years in GenAI Python Azure Cloud Azure OpenAI AI Foundry LangChain LangGraph Vector Databases RAG REST APIs Docker Kubernetes Git and CICD \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ #4 Position Role: AI ML Engineer Location: Remote Duration: Contract Job Description: • Design develop and deploy enterprisegrade Generative AI applications using modern AI frameworks and cloud platforms • Build and optimize RetrievalAugmented Generation RAG solutions leveraging vector databases and enterprise knowledge repositories • Develop AI agents and multiagent workflows using LangChain LangGraph Semantic Kernel and AutoGen frameworks • Integrate Large Language Models LLMs such as GPT Llama Claude and Gemini into business applications • Collaborate with architects product owners and business stakeholders to deliver AIdriven solutions aligned with business objectives • Implement prompt engineering context management memory frameworks and orchestration workflows to improve AI performance • Develop scalable APIs microservices and backend services using Python and cloudnative technologies • Finetune evaluate and monitor foundation models to enhance accuracy reliability and user experience • Implement LLMOps and MLOps practices including CICD pipelines monitoring observability and model lifecycle management • Ensure compliance with Responsible AI principles security standards data privacy requirements and governance policies • Optimize AI applications for scalability performance latency and cost efficiency in production environments • Troubleshoot complex AI solution issues and provide technical leadership during development and production support • Mentor junior engineers and contribute to technical design reviews coding standards and best practices • Stay updated with advancements in GenAI Agentic AI multimodal AI and emerging AI technologies • Required Skills 7 years in software engineering with strong expertise in Python GenAI Azure OpenAI Azure AI Foundry RAG Vector Databases LangChain LangGraph REST APIs Docker Kubernetes Git and cloud platforms \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ #5 Position Role: AI ML Tester Location: Remote Duration: Contract Job Description: • Design and execute test strategies for Machine Learning and AIbased applications across development and production environments • Validate ML models for accuracy precision recall robustness bias and overall performance against business requirements • Develop and maintain automated test frameworks for data validation model testing and AI application workflows • Create functional integration regression and performance test cases for ML and GenAI solutions • Verify data quality feature engineering pipelines and training datasets to ensure model reliability • Perform model validation and compare outputs against expected benchmarks and acceptance criteria • Evaluate AIML models for fairness explainability compliance and Responsible AI standards • Test RAG pipelines vector databases and LLMpowered applications for accuracy and consistency • Collaborate with Data Scientists ML Engineers and Product Teams to identify and resolve defects • Develop test datasets synthetic data and edgecase scenarios to improve model robustness • Perform performance scalability and stress testing of AIML systems in cloud environments • Implement test automation within CICD and MLOps pipelines to support continuous delivery • Track defects prepare test reports and provide quality metrics to project stakeholders • Ensure compliance with security privacy governance and regulatory requirements for AI systems • Required Skills 7 years in Software TestingQA experience in ML Model Validation Python SQL API Testing Test Automation MLOps AzureAWSGCP AIML concepts SeleniumPyTest and performance testing tools