Role Description
Looking for Data Engineering Architect with AIML expertise in designing developing deploying and integrating AIML and Generative AI solutions The ideal candidate should have handson experience with AI service hosting cloud AI platforms MLOps PoC development and enterprise integrations ServiceNow developmentintegration experience is highly preferred The role will support architecture design PoC delivery and project tracking activities during US business hours
Key Responsibilities
1 AIML Architecture Solution Design
AIML Solution Architecture Enterprise AI Platform Design AI Application Architecture EndtoEnd AI Solution Development AI Adoption Strategy Technical Design Documentation System Integration Architecture
2 AIML Development
Machine Learning Model Development Generative AI Applications Large Language Models LLMs Prompt Engineering Retrieval Augmented Generation RAG AI Agent Development Model Training FineTuning and Evaluation NLP Natural Language Processing
3 AI Service Hosting Deployment
AI Model Deployment Hosting AI Services MLOps Model Monitoring Lifecycle Management Containerization Docker Kubernetes APIbased AI Service Deployment Scalable AI Infrastructure
4 Cloud AI Platforms
Strong experience in one or more Microsoft Azure AI Services Azure OpenAI AWS SageMaker Amazon Bedrock Databricks AIML
5 Integration API Development
REST APIs Microservices Architecture API Management AI Service Integration Platform Integration EventDriven Architecture Middleware Integrations
6 ServiceNow Expertise Preferred
ServiceNow Development ServiceNow AI Integrations ServiceNow Workflow Development ServiceNow ITSM Service Portal Development ServiceNow API Integration Custom Applications in ServiceNow Virtual Agent Integration
ServiceNow GenAI Capabilities Preferred
7 DevOps MLOps CICD Pipelines GitGitHubAzure DevOps Jenkins
Automated Model Deployment
8 PoC and Innovation Skills Rapid Prototyping
Proof of Concept Development Technology Evaluation MVP Development Innovation Workshops AI Use Case Identification
9 Project Stakeholder Management
Technical Project Tracking AgileScrum Methodology Requirement Analysis Stakeholder Management Solution Presentation Documentation CrossFunctional Collaboration Client Communication
Mandatory
10 years in Data Engineering Architecture
5 years in AIML Solution Architecture
Experience building and deploying AIML applications
Experience hosting and integrating AI services into enterprise platforms
Strong Python development skills
Experience creating technical PoCs
Required Skills
ServiceNow DevelopmentAdminArchitect experience
Azure OpenAI GenAI implementation experience
RAG and AI Agent development experience
Experience supporting global stakeholders during US hours
Other Details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits And Perks
Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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