Senior Specialist - Architecture
LTM, Dallas, TX, United States
Role Overview
Minimum of 5 years of experience on Azure and have technically guided, managed, and governed the team. Flexible to work in shifts.
Primary Skills
Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions.
Experience in architecting, designing, and implementing on-premises, cloud, and hybrid models.
Hands‑on experience in deploying a variety of generative models.
In‑depth experience in finetuning and customizing pre‑trained AI models with a good understanding of patterns and practices in AI data engineering and large data processing.
Hands‑on in Prompt Engineering, Azure OpenAI, Form Recognizer, Cognitive Search, Vector Databases.
Develop and deliver upskilling sessions to the customer.
Python and PySpark.
Secondary Skills
MLOps and LLMOps.
Certifications – Must Have
Microsoft Certified Azure Developer Associate AZ-204.
Certifications – Good to Have
Microsoft Certified Solutions Architect Expert AZ-303 AZ-304.
AI-102 Microsoft Certified Azure AI Engineer Associate.
DP-100 Microsoft Certified Azure Data Scientist Associate.
Databricks Professional Certificate in Large Language Models.
Microsoft Certified Azure Solutions Architect Expert.
Soft Skills
Good customer connection.
Prepare solution presentations.
Positive attitude and excellent communication skills to manage customer calls.
Excellent problem‑solving skills and good communication.
Educational Qualification
Minimum: Bachelor's in Computer Science or equivalent.
Preferred: Master’s in Technology (MTech) or MS.
Benefits and Perks
Comprehensive Medical Plan covering Medical, Dental, Vision.
Short Term and Long-Term Disability Coverage.
401(k) Plan with Company match.
Life Insurance.
Paid Paternity and Maternity Leave.
Vacation Time, Sick Leave, Paid Holidays.
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 such as 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 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, affectionate 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.
#J-18808-Ljbffr
Minimum of 5 years of experience on Azure and have technically guided, managed, and governed the team. Flexible to work in shifts.
Primary Skills
Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions.
Experience in architecting, designing, and implementing on-premises, cloud, and hybrid models.
Hands‑on experience in deploying a variety of generative models.
In‑depth experience in finetuning and customizing pre‑trained AI models with a good understanding of patterns and practices in AI data engineering and large data processing.
Hands‑on in Prompt Engineering, Azure OpenAI, Form Recognizer, Cognitive Search, Vector Databases.
Develop and deliver upskilling sessions to the customer.
Python and PySpark.
Secondary Skills
MLOps and LLMOps.
Certifications – Must Have
Microsoft Certified Azure Developer Associate AZ-204.
Certifications – Good to Have
Microsoft Certified Solutions Architect Expert AZ-303 AZ-304.
AI-102 Microsoft Certified Azure AI Engineer Associate.
DP-100 Microsoft Certified Azure Data Scientist Associate.
Databricks Professional Certificate in Large Language Models.
Microsoft Certified Azure Solutions Architect Expert.
Soft Skills
Good customer connection.
Prepare solution presentations.
Positive attitude and excellent communication skills to manage customer calls.
Excellent problem‑solving skills and good communication.
Educational Qualification
Minimum: Bachelor's in Computer Science or equivalent.
Preferred: Master’s in Technology (MTech) or MS.
Benefits and Perks
Comprehensive Medical Plan covering Medical, Dental, Vision.
Short Term and Long-Term Disability Coverage.
401(k) Plan with Company match.
Life Insurance.
Paid Paternity and Maternity Leave.
Vacation Time, Sick Leave, Paid Holidays.
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 such as 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 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, affectionate 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.
#J-18808-Ljbffr