Consilium Wrap Platform Jobs in Usa

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

Location: Must be in Charlotte, NC to work Hybrid Model

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.

The Platform Challenge

The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.

What this means architecturally:

• Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
• Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
• User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
• Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.

Experience that directly transfers:

• You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
• You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
• You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
• You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
• You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
• What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
• RxJS Observable lifecycle and potential memory patterns in Angular
• Query efficiency and data loading patterns in SQLAlchemy
• Terraform module organization and state management implications
• Type safety and TypeScript coverage gaps
• AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
• What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
• What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st

Overview

Strategic Staffing Solutions is seeking 4 talented UX Designers (2 Web Designers and 2 Native Platform Designers) to join the Design System team at one of our largest banking clients. These roles will contribute to building scalable, accessible, and high-quality digital experiences across web and native platforms.

Designers will collaborate in a high-performing, agile design systems team to research, ideate, prototype, and deliver design solutions aligned with member needs. This role requires strong attention to detail, collaboration with developers and cross-functional teams, and the ability to contribute to complex design systems.

Open Roles

• 2 – Design Systems Designer (Web Platforms) – Level II / III
• 2 – Design Systems Designer (Native Platforms: iOS & Android) – Level II / III

All positions must work onsite at the Colorado Springs, CO office 5 days per week

No Freelance Work

UX Designers - (2 Web & 2 Native Platforms)

Location: Onsite – Colorado Springs, CO

Employment Type: Contract-to-Hire

Client: Banking Client

Work Authorization: Candidates must be eligible to work in the U.S. immediately w/out sponsorship at any time. This role will eventually go direct with the client.

NOTE-No Corp. to Corp. ALL APPLICANTS MUST HAVE PORTFOLIO LINK CUSTOMIZED TO THIS ROLE AT THE TOP OF THEIR SUBMITTED RESUME

MUST BE LOCAL TO COLORADO SPRINGS, CO. NO RELOCATION ASSISTANCE OFFERED.

Responsibilities

Designer II

• Identify and document business problems to support solutions for moderately complex cross-organizational projects
• Contribute ideas during human-centered design sessions and collaborative workshops
• Participate in the full design lifecycle from discovery through implementation
• Create and document design system assets, components, and specifications
• Develop prototypes and design artifacts to support product development
• Contribute to research synthesis and insights that guide design decisions
• Participate in design critiques and reviews to provide constructive feedback
• Ensure designs follow accessibility, usability, and compliance standards
• Collaborate closely with developers to ensure accurate implementation
• Support identification and documentation of business problems
• Assist with design artifacts, prototypes, and documentation
• Contribute to discovery and research activities within the design process
• Develop foundational interaction, visual, or content design assets
• Participate in critiques and design reviews to develop design skills
• Ensure compliance with organizational risk and design standards

Required Skills & Qualifications

Designer II

• 2+ years of experience in Product Design, UX Design, or Service Design
• Experience contributing to complex design systems for web or native apps
• Portfolio demonstrating:
• Design systems work
• Component libraries or style guides
• Digital product design
• Strong collaboration experience in cross-functional teams
• Strong organizational, communication, and time management skills
• Experience working closely with developers
• Understanding of accessibility, usability, and information architecture

Platform-Specific Requirements

Web Platform

• Experience designing responsive web interfaces
• Knowledge of modern web practices including responsive design, CSS flexbox, and grid

Native Platform

• Experience designing for iOS and Android
• Understanding of platform-specific conventions and interaction patterns

Designer III

• Up to 2 years of experience in:
• Product Design
• UX Design
• Service Design
• Design Research
• Production Design
• Portfolio demonstrating a basic understanding of web and mobile design
• Familiarity with industry-standard design and collaboration tools
• Working knowledge of:
• Website navigation
• Mobile patterns
• Browsers
• Information architecture
• Usability principles
• Strong organization and ability to deliver work on time
• Highly motivated team player and quick learner

Required Tools

Candidates should have experience with:

• Figma (including variables and design tokens)
• Zeroheight
• Atlassian Suite (e.g., Jira, Confluence)

Prior experience required performing the below:

• Designing and maintaining design system components
• Creating prototypes and visual assets
• Documenting patterns and guidelines
• Managing collaboration and design workflows

Additional Information

• 4 roles available total-2 Web Platform Designers and 2 Native Designers
• Onsite work 5 days per week required in Colorado Springs, CO
• Candidates must be eligible to handle Confidential Supervisory Information (CSI)
• Supplier will provide equipment

Baer is looking for Head of Engineering & Platforms – Product Organization for a 6+ month Contract-to-Hire project located in Atlanta, GA

Title: Head of Engineering & Platforms – Product Organization

Location: Hybrid – Atlanta, GA

Duration: 6 months - Contract to Hire

Rate: All-inclusive

Alignment: W2 or C2C

Overview

We are seeking a Head of Engineering & Platforms to lead and scale the engineering organization that powers digital products and platforms across North America. This leadership role will define the engineering vision, build high-performing teams, and establish modern platform architecture to support scalable, secure, and high-performing digital experiences.

Description

• Define and execute the engineering vision, technical strategy, and platform roadmap.
• Build and scale a product-led engineering organization (100+ engineers).
• Lead engineering teams across platform, full-stack, mobile, and data development.
• Implement modern engineering practices including CI/CD, DevOps, automation, and observability.
• Partner with Product, Design, and Data leaders to deliver innovative digital solutions.
• Drive platform architecture, scalability, reliability, and security.
• Lead build vs. buy decisions, leveraging SaaS and custom solutions.
• Foster a culture of engineering excellence, innovation, and continuous improvement.

Requirements

• 15+ years of engineering experience, including leadership roles.
• 7+ years leading engineering teams or organizations.
• Experience building or scaling engineering organizations in product-driven environments.
• Strong knowledge of modern software engineering practices, cloud platforms, and platform architecture.
• Experience working with product operating models and cross-functional teams.
• Excellent leadership, communication, and stakeholder management skills.
• Must be based in or willing to relocate to Atlanta, GA and work in a hybrid schedule.
• Bachelor’s Degree.

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

Hands-On Product Manager — AI-Native Recruiting Platform (HireHQ)

Build the AI operating system for recruiting.

HireHQ is building the next generation AI-native recruiting platform — one that eliminates manual recruiter workflows and replaces them with intelligent automation, AI copilots, and decision intelligence.

Traditional ATS platforms were built for record keeping.

HireHQ is building a recruiting operating system that helps companies find, evaluate, and hire the best talent faster.

We are looking for a highly hands-on Product Manager who can help design and ship this future.

This is not a traditional PM role. You won’t just write tickets and manage roadmaps.

You will:

• Prototype product ideas yourself
• Use AI tools to rapidly build concepts
• Work directly with engineers
• Drive automation across recruiting workflows
• Ship AI-native features quickly

If you like building products at the intersection of AI, automation, and recruiting, you’ll thrive here.

What You'll Work On

You’ll help build core capabilities of the HireHQ recruiting platform, including:

AI Candidate Discovery

• AI-powered candidate search
• Intelligent candidate matching
• Automated candidate enrichment
• Talent graph and candidate insights

AI Screening & Evaluation

• Resume and profile understanding
• AI candidate scoring and ranking
• Interview intelligence and summarization
• Automated screening workflows

Recruiter Copilots

• AI recruiter assistants
• Automated outreach generation
• Pipeline prioritization
• Smart next-action recommendations

Candidate Experience

• AI-powered communication
• Automated follow-ups
• Interview scheduling automation
• Candidate journey insights

Recruiting Automation

• Workflow orchestration across the hiring pipeline
• Intelligent routing and task automation
• AI-driven pipeline management
• Recruiter productivity tools

Our goal is simple:

Reduce manual recruiting work by 80% while improving hiring outcomes.

What You'll Actually Do

You will operate like a product builder.

Ship Products

• Own product areas end-to-end
• Work directly with engineers to design solutions
• Move from idea → prototype → shipped feature quickly

Prototype With AI

You’ll actively use tools like:

• Cursor
• GitHub Copilot
• Claude
• ChatGPT
• Figma

to rapidly create:

• product mockups
• workflows
• prototypes
• PRDs
• user stories
• experimentation plans

We expect PMs to use AI as a force multiplier, not just write docs.

Design AI-Native Workflows

You'll help design product systems that use:

• LLMs
• semantic search
• embeddings
• candidate matching
• summarization
• automation engines

to eliminate manual recruiting work.

Drive Automation

You will constantly ask:

"Why is a human doing this?"

Then build systems that automate it.

Work Extremely Closely With Engineering

You will collaborate daily with engineers to:

• shape product architecture
• refine technical tradeoffs
• ship features quickly
• iterate with real customer feedback

What We're Looking For

Experience

• 5+ years in product management
• Experience building recruiting or HR tech products

Examples include:

• Applicant Tracking Systems (ATS)
• Recruiting CRM platforms
• Candidate engagement tools
• Talent sourcing platforms
• Interview platforms
• Talent intelligence platforms

You deeply understand how recruiting actually works.

AI Product Thinking

You’ve helped build or design AI-enabled product capabilities, such as:

• candidate matching
• screening automation
• workflow automation
• recommendation systems
• AI copilots
• search and ranking systems

Builder Mindset

You like creating things, not just planning them.

You are comfortable:

• prototyping ideas
• creating workflows
• building product concepts independently
• using AI tools to accelerate execution

Comfort With Ambiguity

This is a startup environment.

You should enjoy:

• fast iteration
• unclear problems
• ownership
• shipping quickly

Strong Candidates Often

• Previously worked at HR tech or recruiting tech companies
• Have built ATS or recruiting workflow products
• Use AI tools daily for product development
• Think about automation and workflow intelligence
• Care deeply about shipping useful products quickly

What Success Looks Like

Within your first 3 months:

• Recruiters using HireHQ spend dramatically less time on manual tasks
• AI features automate key recruiting workflows
• Customers rely on AI insights to prioritize candidates
• Recruiters move from administrative work → strategic hiring

Why This Role Is Different

Most recruiting software was designed 15–20 years ago.

HireHQ is rebuilding recruiting software from the ground up using:

• AI agents
• workflow automation
• intelligent candidate matching
• recruiter copilots

This role is an opportunity to help build the AI operating system for hiring.

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

We are currently supporting a direct client that has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform, the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase — including POC validation, platform governance, and operational best practices.

This role is ideal for someone who enjoys working at the architectural and platform level, helping organizations avoid common pitfalls and ensuring the Databricks environment is built for scalability, performance, security, and cost optimization from day one.

You will have the opportunity to shine with your expertise by advising the client on platform design, governance models, cluster strategy, and DevOps automation, while helping establish the foundation for a robust enterprise Lakehouse environment.

Key Skills & Experience

• Databricks workspace administration and cluster governance
• Unity Catalog, Delta Lake, and Spark performance optimization
• AWS architecture including IAM, VPC, S3, KMS, PrivateLink, and CloudWatch
• Terraform and Infrastructure-as-Code for platform provisioning
• CI/CD pipelines, Git workflows, Databricks CLI, and API integrations
• Automation using Python or Bash
• Cost optimization and platform governance strategies

Nice to Have

Experience with:

• Delta Live Tables
• Auto Loader
• MLflow
• Feature Store
• Databricks Serverless Computer

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.