Technical Architect -AI/ML

Techversantinfotech; Ernakulam; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Family Medical Insurance

Flexible work timings

Company-sponsored international tours

Job summary

Techversantinfotech is seeking an AI Solution Architect who thrives at the intersection of technology and innovation. The role involves designing and delivering robust AI-driven applications while leading a development team.

You'll collaborate with clients to understand their AI needs and define high-level architectures, ensuring scalable solutions. The ideal candidate should have expertise in AI/ML technologies and excellent communication skills. The position includes family medical insurance, flexible work timings, and opportunities for growth.

Qualifications

• Proven experience with supervised, unsupervised, and reinforcement learning.
• Deep knowledge of ML algorithms and DL architectures.
• Working knowledge of data wrangling and preprocessing.

Responsibilities

• Understand complex business problems and translate needs into AI opportunities.
• Define end-to-end AI architecture including data pipelines and integration layers.
• Mentor a high-performing AI development team and ensure timely delivery.

Skills

AI/ML/DL expertise

Python

Cloud Platforms

Data Engineering

Software development

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields

Tools

PyTorch

TensorFlow

AWS/GCP/Azure

Job description

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, solution development, 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.

Must‑Have Skills

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 (FAISS, Pinecone), model versioning, and deployment strategies (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

• Excellent communication, stakeholder management, and presentation skills.
• Ability to simplify complex AI concepts for non‑technical stakeholders.

Preferred/Nice‑to‑Have

• Experience with Generative AI (LLMs, GPT, BERT, Stable Diffusion, LangChain, RAG, etc.).
• Knowledge of Prompt Engineering, Fine‑Tuning, and RLHF.
• Experience in NLP, Computer Vision, Time Series, or Recommendation Engines.
• Understanding of ethical AI, explainable AI, and compliance in AI systems.
• Publications, contributions to open‑source, or AI certifications.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
• Certifications in Cloud AI/ML platforms or advanced AI specializations are a plus.

What Company Offers

• Excellent career growth opportunities and exposure to multiple technologies.
• Fixed weekday day schedule, meaning you’ll have your weekends off.
• Family Medical Insurance.
• Unique leave benefits and encashment options based on performance.
• Long‑term growth opportunities.
• Fun family environment surrounded by experienced developers.
• Various internal employee rewards programs based on performance.
• Opportunities for various other bonus programs – for training hours taken, certifications, special value to business through idea and innovation.
• Work‑life balance – flexible work timings, early out Fridays, various social and cultural activities.
• Company‑sponsored international tours.