Ai Solution Architect

2 days ago

Mumbai Maharashtra, India Larsen & Toubro Full time

AI Solution Architect

LNT/ASA/1378493

RELT-RealtyMumbai
- Posted On
- 06 Jun 2025
- End Date
- 03 Dec 2025
- Required Experience
- 7 - 10 Years

**Skills**:
Knowledge & Posting Location

SOLUTION ARCHITECT

Minimum Qualification

BE

**Job Description**:
Job Summary:
⸻

Key Responsibilities:

- Solution Design & Architecture
- Design end-to-end AI/ML architectures, integrating with existing enterprise systems and cloud infrastructure.
- Lead technical planning, proof-of-concepts (POCs), and solution prototyping for AI use cases.
- AI/ML System Development
- Collaborate with data scientists, engineers, and stakeholders to define solution requirements.
- Guide the selection and use of machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Evaluate and incorporate LLMs, computer vision, NLP, and generative AI models as appropriate.
- Technical Leadership
- Provide architectural oversight and code reviews to ensure high-quality delivery.
- Establish best practices for AI model lifecycle management (training, deployment, monitoring).
- Advocate for ethical and responsible AI practices including bias mitigation and model transparency.
- Stakeholder Engagement
- Partner with business units to understand goals and align AI solutions accordingly.
- Communicate complex AI concepts to non-technical audiences and influence executive stakeholders.
- Innovation & Strategy
- Stay updated on emerging AI technologies, trends, and industry standards.
- Drive innovation initiatives to create competitive advantage through AI.

⸻

Required Qualifications:

- Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.
- 6 years of experience in software development or data engineering roles.
- 3+ years of experience designing and delivering AI/ML solutions.
- Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
- Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
- Strong programming skills in Python and familiarity with CI/CD pipelines.

⸻

Preferred Qualifications:

- Experience with generative AI, foundation models, or large language models (LLMs).
- Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and AI compliance frameworks.
- Certifications in cloud architecture or AI (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
- Strong analytical, communication, and project management skills.

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