Mphasis · 21 hours ago
AI Evangelist - Architect Advanced
California, United States
Full-time
Hybrid
Senior Level, Lead/Staff
15+ years expMphasis is seeking an inquisitive, hands-on AI Evangelist who can turn ideas into shipped capabilities by applying generative and agentic AI to enhance existing products and build new tools. The role involves partnering with various stakeholders to discover high-impact use cases, build prototypes, and guide production adoption while championing responsible AI practices.
Artificial Intelligence (AI)BlockchainCyber SecurityInformation TechnologyIT Management
Responsibilities
Educate & influence: Lead demos, brown‑bags, and workshops to raise AI fluency across product, engineering, and business teams; translate complex AI concepts into clear, outcome‑oriented narratives
Discover value: Run structured discovery (problem framing, ROI/feasibility) to identify high‑leverage AI use cases in current applications and greenfield tools
Prototype fast: Build end‑to‑end proofs of concept (POCs) using LLMs and agent frameworks , moving from idea → prototype in weeks, not months
Integrate & ship: Partner with product and platform teams to embed AI features into existing stacks (APIs/services, front‑end surfaces, workflows), hardening POCs for production
Agentic systems: Design agent workflows (planning, tool‑use, retrieval, guardrails) for tasks like intelligent assistance, automation, and decision support
Architecture & ops: Define reference architectures for RAG, tools/plugins, orchestration, observability , evaluation, and cost/performance tuning
Governance: Embed Responsible AI (safety, privacy, security, compliance), data governance, and evaluation frameworks (offline/online) into delivery
Measurement: Establish success metrics (quality, latency, adoption, cost per task, deflection, NPS/CSAT) and run experiments/A‑B tests to validate impact
Partner ecosystem: Evaluate vendors and open‑source components; guide build‑vs‑buy decisions; contribute reusable assets and playbooks
Champion change: Remove adoption blockers, capture learnings, and scale wins via internal communities, templates, and enablement content
Qualification
Required
Total 15+ years of experience in Software engineering, with 8+ years in ML engineering (or equivalent) with 2+ years delivering generative AI features or platforms end-to-end
Demonstrated ability to prototype and code: one or more of Python/TypeScript/Java, plus modern API and microservice patterns
Hands-on with LLMs and agentic patterns: prompt engineering, RAG, tool-calling/function-calling, agents/planners, evaluation
Experience with at least one cloud (Azure OpenAI, AWS Bedrock, Google Vertex AI) and vector/search stacks (Pinecone, FAISS, Elasticsearch/OpenSearch, pgvector)
Familiarity with LangChain/LangGraph, LlamaIndex, OpenAI/Claude APIs, and model hosting (managed endpoints or self-hosted)
Solid understanding of security, privacy, governance, PII handling, prompt-injection mitigation, abuse monitoring, and auditability
Interpersonal excellence: persuasive communicator and facilitator; comfortable with exec briefings and hands-on pairing with engineers
Strong product sensibilities: able to frame problems, define success metrics, and iterate with user feedback
Preferred
Experience operationalizing AI features: eval harnesses (LLM-as-judge/human-in-the-loop), observability (trace logs, prompt/versioning), and cost/perf tuning
Background in MLOps (feature stores, CI/CD for ML, model/version management) or platform engineering for AI services
Domain experience in regulated industries (e.g., financial services, healthcare) and threat-modeling for AI systems
Contributions to OSS, internal frameworks, or thought leadership (blogs, talks, playbooks)
Company
Mphasis
Mphasis is an IT services company that offers blockchain, cyber security, product engineering, DevOps, and other services. It is a sub-organization of Blackstone Group.
10001+ employees
H1B Sponsorship
Mphasis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1685)
2024 (1453)
2023 (1350)
2022 (1639)
2021 (1415)
2020 (1251)
Funding
Current Stage
Public CompanyTotal Funding
$68.92MKey Investors
Blackstone Group
2020-04-02Post Ipo Equity· $68.92M
2016-04-05Acquired
2004-06-04IPO
Leadership Team
Nitin Rakesh
Chief Executive Officer and Managing Director
Aravind Viswanathan
Chief Financial Officer
Recent News
2026-02-04
Company data provided by crunchbase