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Job Description: AI Engineer
@ Trianz
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Website
United States
Remote
Contract
Responsibilities:
Design pipelines, Build models, Collaborate stakeholders
Requirements Summary:
AI Engineer with strong data engineering, ML/AI, and cloud experience; contract role; remote work with US location.
Technical Tools Mentioned:
Python, Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, SQL, Redshift, Aurora, RDS, Power BI, Tableau, AWS, Azure, SageMaker, Glue, Athena, Synapse Analytics, Data Factory, Spark, Hadoop, EMR
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Job Description

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Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive “IP Led Transformations” vision, strategy, and business model over the past 3 years. Some of the company’s IP was recently acquired by AWS and its overall business model has taken off sharply in 2024.

Trianz is led by Sri Manchala, a former special forces officer from the Indian army and author of Crossing the Digital Faultline | Trianz, and a team of veterans from well-known firms such as Deloitte, HCL, KPMG, Wipro, Microsoft, TATA, AWS, GE, etc. 

About Trianz

Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed the adoption of the cloud, data, analytics & insights AI.

Specifically, the following Trianz platforms are changing the way companies approach transformations in various disciplines:

Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code and SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP and manage them efficiently from a single pane of glass. Visit www.concierto.cloud for more information.
Avrio: is a Data to AI SaaS platform designed to drive data-led transformation at lightning speed. Through conversational AI, organizations seamlessly engage with all their data, unlocking real-time insights, and uncovering hidden opportunities and risks—all within one powerful platform. Visit www.avriodata.ai to know more.
Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit www.trianz.com/Pulse
Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success and recognition.

Some of Trianz’ built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms.
Most recently, Trianz and AWS have signed a strategic collaboration agreement within which the two companies will work on joint roadmaps/solutions for the cloud; AWS will buy Trianz | Concierto in bulk for AWS partners to use for migrations; AWS will also recommend Concierto to their MSPs and finally, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com)
 

Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.            

 

Job Description       

         

Role:    

AI Engineer

Employment Type: Contract             

Contract till end of year 2025 + possibility of extending further

Work location: 

Remote (Travel - Minimal; as per project/client needs)

About the Role   

Trianz is seeking a highly motivated AI Engineer to join the Practice team where the candidate will contribute across multiple client engagements, internal initiatives, and practice development activities. This role is designed for professionals with strong expertise in data engineering, analytics, machine learning, and Generative AI who can thrive in fast-paced, cross-functional environments. 

The ideal candidate has proven experience in building scalable data pipelines, deploying predictive and generative AI models, and delivering business insights through data storytelling and visualization. This role provides opportunities to work with modern cloud platforms (AWS, Azure) and advanced ML/AI technologies, including LLMs and generative AI solutions. 

 

Job Responsibilities   

Design, develop, and optimize data pipelines (ETL/ELT) to support scalable data architectures. 
Build, train, and deploy machine learning and generative AI models for diverse business use cases. 
Conduct statistical analysis, data exploration, and feature engineering to improve model performance. 
Develop interactive dashboards and reports using tools such as Power BI and Tableau. 
Collaborate with business stakeholders to translate complex data findings into actionable insights. 
Automate workflows to reduce manual effort and improve efficiency across projects. 
Contribute to practice-level knowledge sharing, frameworks, and accelerators. 
Stay current with advancements in cloud-based data solutions, ML/AI, and generative AI practices. 
 

Mandatory Skills   

Strong experience in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL (Redshift, Aurora, RDS, Oracle). 
Proven knowledge of cloud ecosystems (AWS, Azure) including services like SageMaker, Glue, Athena, Synapse Analytics, and Data Factory. 
Expertise in data modeling, statistical analysis, applied machine learning, and generative AI. 
Experience with BI tools (Power BI, Tableau) for KPI reporting and visualization. 
Strong understanding of ETL/ELT workflows and data warehousing concepts. 
Ability to work in Agile environments and collaborate effectively with cross-functional teams. 
 

Preferred Skills

Deep expertise in Generative AI (LLMs, Transformer models, Prompt Engineering, Fine-tuning). 
Experience in Natural Language Processing (NLP) and advanced deep learning methods. 
Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). 
Experience in CI/CD pipelines and MLOps practices. 
Knowledge of big data tools (PySpark, Hadoop, EMR). 
Strong business acumen and ability to connect data insight