Job Description
Techversant is a global technology services and solution s company providing high-quality end-to-end IT Solutions and Services to its clients across the globe for more than 17 years.
Techversant has been providing Technology services in the key areas of Digital Transformation, Understanding the Evolving Industrial Scenarios, Investment Priorities and Technology Disruption.We offers expertize and consultation in multiple technology domains like ColdFusion, Python, Java, .NET, Node JS, Ruby on Rails, Golang, PHP, Artificial intelligence, Blockchain, IOS, Android, Flutter, React Native, Angular, React Vue,etc catering to various industry verticals globally.
What s important to us
We are looking for a visionary yet hands-on AI Solution Architect who thrives at the intersection of technology, business, and innovation. This is a client-facing leadership role for someone who can conceptualize, design, and deliver robust AI-driven applications while staying ahead of the curve with emerging AI trends and technologies. You will be responsible for the entire lifecycle of AI solution development from client discussions and requirements analysis to architecture design, algorithm selection, solutiondevelopment, team guidance, and successful delivery.
Key Responsibilities
Client Engagement Consulting
Interact directly with clients and stakeholders to understand complex business problems.
Translate business needs into AI/ML opportunities and articulate solution strategies clearly.
Present solution architectures, effort estimates, timelines, and potential ROI.
Solution Design Architecture
Define end-to-end AI architecture including data pipelines, model selection, AI engines,integration layers, APIs, and deployment strategies.
Make informed choices of AI/ML/DL algorithms, frameworks, and platforms based on problem type and constraints.
Ensure the architecture is scalable, modular, secure, and optimized for performance.
Hands-On Development
Develop critical components or proof-of-concepts when needed.
Perform hands-on design and coding for pipelines, model training, inferencing, or integrations.
Create reusable components and automation scripts for repeatability.
Team Leadership Delivery Oversight
Build and mentor a high-performing AI development team.
Drive agile development cycles, ensuring timely and quality delivery.
Collaborate with DevOps, Product Managers, and QA teams throughout SDLC.
AI/ML/DL Expertise
Proven experience with supervised, unsupervised, and reinforcement learning.
Deep knowledge of ML algorithms (e.g., XGBoost, SVM, Random Forest) and DL architectures (CNNs, RNNs, Transformers, LLMs).
Hands-on with Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, etc.
Architecture System Design
Strong grasp on designing large-scale AI/ML pipelines using microservices, APIs, and cloud-native architecture.
Experience designing MLOps workflows (CI/CD for ML) using tools like MLflow, Kubeflow, Airflow, DVC.
Cloud Platforms
Proficient in AWS/GCP/Azure AI/ML services (e.g., SageMaker, Vertex AI, Azure ML Studio).
Familiarity with vector databases (e.g., FAISS, Pinecone), model versioning, and deployment strategies (e.g., REST APIs, gRPC, containers, Kubernetes).
Data Engineering
Working knowledge of data wrangling, preprocessing, ETL, feature engineering, data versioning.
Tools Spark, Pandas, Snowflake, Kafka, Databricks, Delta Lake.
Product Project Ownership
Ability to estimate efforts, manage scope, and align delivery with client expectations.
Experience in productizing AI models and integrating them into full-stack applications.
Soft Skills
o Excellent communication, stakeholder management, and presentation skills.
o Ability to simplify complex AI concepts for non-technical stakeholders.
