Data and AI Architect

Job Title: Data and AI Architect

Location: Bangalore/Mangalore

Type: Full-Time

Why MResult

Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult's expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges.

Website: https://mresult.com/

LinkedIn: https://www.linkedin.com/company/mresult/

What We Offer:

At MResult, you can leave your mark on projects at the world's most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within.

Our values Agility, Collaboration, Client Focus, Innovation, and Integrity are woven into our culture, guiding every decision.

What This Role Requires:

In this role, you will be a key contributor to MResult's mission of empowering our clients with data driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities.

Overview:

The Data & AI Architect is responsible for designing and guiding the implementation of scalable data platforms, AI/ML systems, and cloud-native architectures. This role bridges data engineering, data science, and enterprise architecture, ensuring that data and AI solutions are robust, secure, efficient, and aligned with business objectives.

Key Responsibilities

Data & AI Architecture:

Design end-to-end architectures for data ingestion, storage, processing, analytics, and AI/ML workloads.

Architect data platforms such as data lakes, data warehouses, and lakehouses (Snowflake, Insights Innovation Databricks, BigQuery, Redshift, etc.).

Define AI/ML architectures including model training, feature stores, deployment, and monitoring.

Build scalable real-time and batch data pipelines using modern frameworks (Kafka, Spark, Flink, Airflow, dbt).

Solution Design & Governance:

Develop conceptual, logical, and physical data models supporting advanced analytics and ML.

Ensure architectural compliance with security, governance, quality, and regulatory requirements (GDPR, HIPAA, SOC2).

Establish data standards, best practices, and architectural guardrails.

Collaboration & Stakeholder Leadership:

Work closely with data scientists, ML engineers, data engineers, and business stakeholders to translate requirements into solution designs.

Lead architectural reviews and provide technical guidance during project execution.

Evaluate and recommend tools, cloud services, and platforms for data and

AI initiatives. Cloud & Infrastructure:

Define and optimize cloud-native architectures on AWS, Azure, or GCP.

Implement MLOps/ModelOps practices including CI/CD for models, monitoring, and model lifecycle management.

Architect solutions with scalability, performance, availability, and cost-efficiency in mind.

Key Skills to Succeed in this role:

Strong hands-on background in data engineering, analytics, or data science.

Expertise in building data platforms using:

1. Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow).
2. Compute: Spark, Databricks, Flink.
3. Data modelling: dimensional, relational, NoSQL, graph.

Proficiency with Python, SQL, and data pipeline orchestration tools.

Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

Soft Skills:

Strong communication skills and ability to translate technical concepts into business terms.

Leadership and mentoring capabilities.

Problem-solving mindset with a focus on scalable, future-proof design.

Preferred Qualifications:

8+ years of experience in data engineering, data science, or architecture roles.

Experience designing enterprise-grade AI platforms.

Certification in major cloud platforms (AWS/Azure/GCP).

Experience with governance tooling (Collibra, Alation) and lineage systems.

Manage, Master, and Maximize with MResult

MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult where your ideas help shape the future.