Solutions Architect

TymblHub; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

HCL is seeking a Mid-Level AI Solution Architect to design and implement AI and cloud architectures, with a focus on GenAI integration. You will engage with clients, guide architectural decisions, and drive GenAI adoption across cloud-native projects.

The role requires 5+ years in cloud and AI architecture, strong Python/Java (Golang) skills, and hands-on experience with Kubernetes, AWS, Azure, and Google Cloud. You will mentor teams and contribute to open source and industry initiatives.

Qualifications

• 5+ years in cloud and AI architecture design.
• Hands-on with GenAI models and NLP techniques.
• Strong experience in Kubernetes and cloud platforms (AWS/Azure/GCP).
• Exposure to big data tools and modern ML ops practices.

Responsibilities

• Design and implement AI and cloud architectures with GenAI integration.
• Lead architectural discussions and guide cloud-native patterns.
• Collaborate with partners and clients to drive GenAI adoption.
• Provide technical mentorship and contribute to thought leadership.

Skills

Mid-Level AI/Cloud Architecture

Python

Java

Golang

Kubernetes

AWS

Azure

Google Cloud

GenAI

NLP

MLOps

Education

Cloud certification (AWS/GCP/Azure)

Tools

TensorFlow

PyTorch

Prometheus

ELK Stack

CI/CD

Job description

## Job Description## AI Solution Architect I## Job SummaryThe Mid-Level AI Architect is responsible for designing and implementing AI and cloud architectures, with a focus on integrating generative AI technologies. This role requires a solid understanding of AI and cloud platforms and the ability to engage with customers on various architectural topics in cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, keeps up with industry trends, and drives innovation within the organization and for clients. As a key contributor, you will interact frequently with customers, provide expert opinions, and support HCL's strategic vision.## Key Responsibilities### Technical & Engineering Leadership* Design and implement **AI** and **cloud architectures**, integrating **GenAI** technologies to enhance functionality and scalability.* Participate in architectural discussions with clients, providing guidance on best practices for **AI** and **cloud integration**.* Ensure solutions align with **microservice** and **container-based environments** across public, private, and hybrid clouds.* Contribute to HCL's thought leadership in the **Cloud Native** domain with a solid understanding of **open source technologies** (e.g., **Kubernetes/CNCF**) and partner technologies.* Collaborate on technical projects with global partners, including **Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco**, and **Dell/VMware**.### Service Delivery & Innovation* Develop **GenAI solutions** from ideation to MVP, ensuring high performance and reliability within **cloud native frameworks**.* Optimize **AI** and **cloud architectures** to meet client requirements, balancing efficiency and effectiveness.* Evaluate existing complex solutions and recommend architectural improvements to transform applications with **cloud-native/12-factor characteristics**.* Promote the adoption of **GenAI technologies** within **cloud-native projects**, driving initiatives that push the boundaries of **AI integration** in cloud services.### Thought Leadership and Client Engagement* Provide architectural guidance to clients on incorporating **GenAI** and **machine learning** into their **cloud native applications** and architectures.* Conduct workshops, briefings, and strategic dialogues to educate clients on **AI benefits** and applications, building strong, trust-based relationships.* Act as a trusted advisor, contributing to technical projects (**PoCs** and **MVPs**) with a focus on technical excellence and on-time delivery.* Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in **AI** and **cloud architecture**.* Create and record videos to share insights and opinions on **AI** and **cloud technologies**, enhancing HCL's industry leadership.### Collaboration and Multi-Customer Management* Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships.* Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects.* Maintain a hands-on technical credibility, staying current with industry trends and mentoring others in the organization.## Skill Requirements### Mandatory Skills & Experience* **Experience:** 5+ years in **cloud** and **AI architecture design**, 3+ years in **software development**.* **Technologies:** Proficiency in **Python, Java** (and/or **Golang**), and **Spring**; expertise in **AWS, Azure, Google Cloud**; **Kubernetes** and **containerization**.* **AI Expertise:****Machine learning model development, GenAI models** (e.g., **GPT, BERT, DALL-E, GEMINI**), **NLP techniques**.* **Big Data:** Experience with **Hadoop** and **Spark**.* **Ethics:** Knowledge of **AI ethics** and **governance**.* **Methodologies:****Agile** and **Scrum** project management.### Desired Skills & Experience* **API Development** and **Integration*** **Data Storage Solutions** (**SQL, NoSQL**)* **AI Model Optimization** and **Scaling**; **Model Evaluation** and **Validation*** **Monitoring** and **Logging** (**Prometheus, ELK Stack**)* **GenAI Model Utilization** and **MLOps*** Proficiency in **Data Engineering for AI**, including preprocessing, feature engineering, and pipeline creation* Expertise in **AI Model Fine-Tuning, Evaluation**, and **Bias Mitigation*** Knowledge of **Serverless Computing, Distributed Systems, Deep Learning Frameworks** (**TensorFlow, PyTorch**), and **Emerging Technology Trends**### Verifiable Certification* At least one recognized cloud professional certification (**AWS Certified Solutions Architect, Google Professional Cloud Architect**, or **Microsoft Certified: Azure Solutions Architect Expert**)### Soft Skills and Behavioural Competencies* Excellent communication and teamwork skills, capable of collaborating effectively with diverse teams.* Demonstrates a strong customer orientation and innovative problem-solving abilities.* Skilled at adapting to organizational changes and contributing to a culture of innovation.## Must Have Skills* **Python**