Senior Specialist - Data Sciences

Gen AI Architect

Role Type Technical leadership architecture design handson implementation platform engineering through field collaboration

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate compete and grow By combining deep domain knowledge advanced engineering and transformation expertise LTM helps clients navigate their most complex challenges and seize new opportunities in an increasingly digital world

BlueVerse is LTMs Enterprise AI business unit purposebuilt to help organizations move beyond pilots into scaled productiongrade AI adoption BlueVerse blends AI strategy functional consulting an AI Foundry and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise

Operating across Banking Insurance Manufacturing RetailCPG Energy Utilities Travel Hospitality HiTech and Media BlueVerse works closely with industry GTM teams to create repeatable AI solutions accelerators and transformation blueprints

Role Overview

The Gen AI Architect is responsible for designing and operationalizing enterprisegrade GenAI capabilities within BlueVerse This role architects productionready AI solutions that combine LLM reasoning retrieval orchestration and enterprise controls to deliver trustworthy business outcomes in real operating environments

You will work across architecture product and engineering teams to move GenAI features from concept to robust implementation with emphasis on quality safety performance maintainability and clear operational ownership The role is both foundational and executionoriented setting strong architectural patterns while helping teams implement them in ways that are observable testable and resilient under production constraints

You will collaborate with field and clientfacing teams to shape highvalue use cases build rapid proofsofvalue and convert successful pilots into productionready MVP plans that move from rapid proofofvalue to scalable enterprise rollout with strong governance observability and measurable business impact

Key Responsibilities

GenAI Architecture and Design

Design solution patterns for enterprise GenAI use cases including copilots autonomous task agents decision support systems and workflow automation across multiple business domains

Define architecture for model routing prompt strategy grounding memory handling and tool orchestration with explicit design choices for reliability and cost control

Establish patterns for secure integration of enterprise data APIs and workflow systems into GenAI applications without compromising governance and data boundaries

Ensure designs support explainability policy enforcement and operational observability so teams can diagnose and improve behavior continuously

Productionization and Quality

Build and guide implementation of evaluation frameworks for accuracy relevance safety hallucination control latency and consistency across release cycles

Partner with platform engineering to standardize reusable components for prompt templates guardrails telemetry fallback logic and controlled rollout mechanisms

Create practical evaluation harnesses for task success policy compliance toolcall reliability and costlatency tradeoffs to compare baseline versus PoV improvements

Contribute to performance and cost optimization across model and infrastructure choices through benchmarkdriven architecture decisions

Create reference implementations that can be reused across domains and client deployments reducing setup time and implementation risk

FieldtoPlatform Execution

Partner with clientfacing and delivery teams to translate business problems into measurable outcome hypotheses and technically feasible thinslice PoV scopes

Define agentic blueprints covering agent roles orchestration patterns knowledge strategy guardrails observability and humanintheloop escalation

Produce clean handoffs to delivery squads with MVP backlogs architecture decisions and production controls such as identity audit logging and fallback design

Design for enterprise integration across client ecosystems and major platforms while preserving security privacy and compliance boundaries

Governance and Enablement

Embed responsible AI and governance controls into architecture patterns from day one including traceability guardrail coverage and intervention pathways

Support risk and compliance teams with design artifacts required for enterprise approvals audits and production readiness reviews

Document technical standards and best practices for GenAI development across BlueVerse teams and keep them current with platform evolution

Mentor engineers and solution teams on scalable GenAI architecture approaches through design reviews and practical implementation guidance