Ai & Ml Architect

**Job Description**:
**Job ID**:

- AIMLA014167

**Employment Type**:

- Regular

**Work Style**:

- hybrid

**Location**:

- Pune City,India

**Role**:

- AI & ML Architect

Role Overview:
As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. This
role demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar.

Key Responsibilities:
**Strategic Technical Leadership**:

- Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth.
- Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability.
- Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies.

**Advanced AI Product Development**:

- Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures.
- Drive innovation by exploring and integrating emerging AI technologies and best practices.

**Mentorship & Team Growth**:

- Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence.
- Elevate the team’s capabilities through coaching, training, and providing guidance on best practices and complex problem-solving.

**End-to-End Ownership**:

- Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production.
- Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals.

**Collaboration & Influence**:

- Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions.
- Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact.

**Operational Excellence**:

- Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems.
- Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability.

**Innovation & Continuous Improvement**:

- Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities.
- Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements.

**Minimum Qualifications**:

- Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required.
- Experience: 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions.
- Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain.
- Advanced knowledge of AI/ML algorithms, generative models, and LLMs.
- Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).
- Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels.
- Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions.
- Collaboration: Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders.

**Preferred Qualifications**:

- AI/ML Expertise: Experience with multi-modal models, reinforcement learning, and responsible AI principles.
- Cloud & Infrastructure: Advanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow.
- Thought Leadership: Contributions to the AI/ML community through publications, open-source projects, or speaking engagements.
- Agile Experience: Familiarity with agile methodologies and working in a DevOps model.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation: