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AIML Architect || Remote For 1 year || ValueLabs

AIML Architect || Remote For 1 year || ValueLabs

Valuelabs

9 - 14 years

70 - 80 Lacs

indore hyderabad

Posted:1 day ago| Platform:

Apply

Skills Required

genrative ai artificial intelligence aiml llm python open ai cloud architecture machine learning rags architecting and designing

Work Mode

Hybrid

Job Type

Full Time

Job Description

AI/ML Architect

Key Responsibilities

Strategic & Technical Leadership

Define and drive the AI/ML architecture vision across enterprise projects, ensuring alignment with business goals and the AiDE platforms capabilities.
Design and implement scalable, secure, and maintainable AI/ML systems using a blend of commercial, open-source, and custom LLMs optimized for cost, performance, and quality.
Lead the evaluation, selection, and integration of LLMs and AI models into the AiDE Fabric, including fine-tuning, evaluation pipelines, and inference optimization.
Establish AI governance standards, model lifecycle management, and compliance frameworks (including PII/PHI protection, SOC 2 Type II requirements).

Platform Integration & Innovation

Architect AI-driven solutions using
AiDE Explain
,
AiDE Upgrade
,
AiDE Migrate
, and
AiDE Impact Based Testing
to accelerate development, reduce technical debt, and improve system maintainability.
Enable seamless integration of AI/ML components with existing enterprise stacks (e.g., React, Java, .NET, Salesforce, Azure, Kubernetes).
Drive the adoption of agentic workflows across development, QA, and operations teams using AiDE’s
Jira/Azure DevOps integration
and automated task orchestration.

Cross-Functional Collaboration

Partner with product, engineering, QA, and security teams to co-design AI-powered features and automate complex workflows.
Mentor senior engineers and lead technical discussions on AI/ML best practices, model interpretability, and ethical AI.
Champion the use of
AiDE Idea to Launch
and
AiDE Design to Code
to accelerate MVP delivery and innovation cycles.

Research & Development

Stay ahead of advancements in generative AI, agentic systems, and LLM fine-tuning; prototype and pilot new use cases on the AiDE platform.
Publish technical insights and contribute to internal knowledge base, including architecture diagrams, dependency maps, and solution overviews via
AiDE Explain
.

Qualifications & Skills

Required

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
8+ years of experience in software engineering, with 5+ years focused on AI/ML system design and implementation.
Proven experience in designing and deploying large-scale AI/ML systems in enterprise environments.
Deep expertise in
LLM architectures
,
prompt engineering
,
fine-tuning
,
evaluation frameworks
, and
inference optimization
.
Hands-on experience with
model deployment
,
monitoring
, and
versioning
(e.g., MLflow, Kubeflow, SageMaker).
Strong understanding of
AI security
,
data privacy
, and
compliance
(GDPR, HIPAA, SOC 2).
Experience with
agentic workflows
,
multi-agent systems
, and
autonomous AI agents
is a plus.
Familiarity with
AiDE platform components
(e.g., AiDE Fabric, AiDE Explain, AiDE Upgrade) is highly desirable.

Preferred

Experience with
custom LLM training
,
RAG architectures
, and
vector databases
(e.g., Pinecone, Weaviate).
Background in
automated testing
,
CI/CD pipelines
, and
DevOps integration
(Azure DevOps, Jenkins).
Knowledge of
UML
,
sequence diagrams
, and
architecture documentation
— especially using tools like
AiDE Explain
.
Public contributions to AI/ML research, open-source projects, or technical publications.

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