Senior Technical Consultant, Data and AI

This a Full Remote job, the offer is available from: Asia

We are looking for a Principal Technical Consultant – Data Engineering & AI who can lead modern data and AI initiatives endtoend — from enterprise data strategy to scalable AIML solutions and emerging Agentic AI systems. This role demands deep expertise in cloudnative data architectures, advanced machine learning, and AI solution delivery, while also staying at the frontier of technologies like LLMs, RAG pipelines, and AI agents. You’ll work with Clevel clients to translate AI opportunities into engineered outcomes. Roles and Responsibilities

• AI Solution Architecture & Delivery:
• • Design and implement productiongrade AIML systems, including predictive modeling, NLP, computer vision, and timeseries forecasting.
• • Architect and operationalize endtoend ML pipelines using MLflow, SageMaker, Vertex AI, or Azure ML — covering feature engineering, training, monitoring, and CICD.
• • Deliver retrievalaugmented generation (RAG) solutions combining LLMs with structured and unstructured data for highcontext enterprise use cases.
• • Data Platform & Engineering Leadership:
• Build scalable data platforms with modern lakehouse patterns using: Ingestion: Kafka, Azure Event Hubs, Kinesis Storage & Processing: Delta Lake, Iceberg, Snowflake, BigQuery, Spark, dbt Workflow Orchestration: Airflow, Dagster, Prefect Infrastructure: Terraform, Kubernetes, Docker, CICD pipelines Implement observability and reliability features into data pipelines and ML systems.
• Agentic AI & Autonomous Workflows (Emerging Focus):
• Explore and implement LLMpowered agents using frameworks like LangChain, Semantic Kernel, AutoGen, or CrewAI. Develop prototypes of taskoriented AI agents capable of planning, tool use, and interagent collaboration for domains such as operations, customer service, or analytics automation. Integrate agents with enterprise tools, vector databases (e.g., Pinecone, Weaviate), and functioncalling APIs to enable contextrich decision making.
• Governance, Security, and Responsible AI: Establish best practices in data governance, access controls, metadata management, and auditability.
• Ensure compliance with security and regulatory requirements (GDPR, HIPAA, SOC2). Champion Responsible AI principles including fairness, transparency, and safety. Consulting, Leadership & Practice Growth: Lead large, crossfunctional delivery teams (10–30+ FTEs) across data, ML, and platform domains. Serve as a trusted advisor to clients’ senior stakeholders (CDOs, CTOs, Heads of AI). Mentor internal teams and contribute to the development of accelerators, reusable components, and thought leadership.

Key Skills

• 12+ years of experience across data platforms, AIML systems, and enterprise solutioning
• • Cloudnative design experience on Azure, AWS, or GCP
• • Expert in Python, SQL, Spark, ML frameworks (scikitlearn, PyTorch, TensorFlow)
• • Deep understanding of MLOps, orchestration, and cloud AI tooling
• • Handson with LLMs, vector DBs, RAG pipelines, and foundational GenAI principles
• • Strong consulting acumen: client engagement, technical storytelling, stakeholder alignment
• Qualifications
• Master’s or PhD in Computer Science, Data Science, or AIML
• • Certifications: Azure AI102, AWS ML Specialty, GCP ML Engineer, or equivalent
• • Exposure to agentic architectures, LLM finetuning, or multiagent collaboration frameworks
• • Experience with opensource contributions, conference talks, or whitepapers in AIData
• This offer from “AHEAD” has been enriched by Jobgether.com and got a NaN% flex score.