Solutions Architect

Mphasis; Town of Florida (NY); On-site; USD 90,000 - 173,500; Full time

Job summary

Mphasis is looking for a Forward Deployed Engineer/Solution Architect based in the United States who combines technical expertise with the ability to deliver AI solutions. This role requires 10+ years of hands-on engineering experience and proven problem-solving skills.

You will engage directly with enterprise customers to solve complex technical challenges and work closely with Fortune 500 teams. A Bachelor’s degree is required, and a mastery of various AI and cloud technologies is a strong plus.

The salary range for this role is competitive, from $90,000 to $173,500.

Qualifications

• 10+ years of experience in enterprise software or solutions architecture.
• Proven ability to tackle complex technical challenges.
• Experience with large enterprise customers, particularly C-suite interactions.

Responsibilities

• Work directly with enterprise customers to solve technical challenges.
• Design, prototype, and implement solutions using the Kore.ai Agent Platform.
• Lead technical workshops and design sessions.

Skills

Hands-on engineering experience

Problem-solving ability

Customer-facing excellence

Technical proficiency in APIs, microservices, cloud

Understanding of enterprise implementations

Education

Bachelor’s degree in Engineering, Computer Science

Tools

Kore.ai Platform

AWS

Azure

GCP

Job description

Location: Onsite

Job Title: FDE (Forward Deployed Engineer / Solution Architect)

We need someone who is comfortable operating with C-level executives, can understand business objectives and expected outcomes, translate use cases into solution architecture on Kore products, and then execute hands‑on to build prototypes and production solutions.

This role requires strong GenAI capability—both in constructing solutions directly and leading a lean team to deliver at enterprise scale. They should also be able to contribute code for FRs back to product.

Role

We are looking for a Forward Deployed Engineer / Solution Architect who combines deep technical expertise with the ability to solve complex enterprise problems directly alongside our largest customers. This is not a traditional solutions consulting role. You will be embedded with Fortune 500 technical teams, working hands‑on to architect, build, and scale agentic AI solutions that transform how these organizations operate.

You are the kind of engineer who can walk into a room with enterprise architects, CIOs, and infrastructure leaders — understand their most complex challenges — and then go build the solution. You think from first principles, thrive in ambiguity, and treat every customer engagement as both a technical challenge and a strategic opportunity.

Based out of our San Francisco or Orlando offices, you will work closely with implementation teams across the US and remote geographies — coordinating across time zones to drive successful enterprise deployments end‑to‑end. This role requires the ability to lead distributed teams, align stakeholders across regions, and maintain execution quality regardless of where the work is happening.

What You Will Do

Solve Hard Problems at Scale: Work directly with enterprise customers to understand their most complex technical challenges — integration bottlenecks, scaling constraints, multi‑system orchestration — and architect solutions from the ground up.

Hands‑On Architecture & Engineering: Design, prototype, and implement solutions using the Kore.ai Agent Platform. Write code, build integrations, optimize performance, and debug production issues. You’re not just drawing architecture diagrams — you’re building the system.

Enterprise Architect Engagement: Serve as the technical peer to customer enterprise architects and CIOs. Present architecture blueprints, lead design reviews, and establish trust as the go‑to technical authority for complex deployments.

Customer‑Facing Technical Leadership: Lead technical workshops, design sessions, and proof‑of‑concept implementations. Translate complex AI capabilities into clear business value for technical and non‑technical stakeholders.

Bridge Product & Customer Reality: Act as the critical feedback loop between what customers need and what our platform delivers. Influence product roadmap with real‑world insights from enterprise deployments.

Scale What Works: Document solution patterns, create reusable architectures, and build technical assets that enable the broader team and partner ecosystem to replicate success.

Technical Due Diligence for Strategic Deals: Support high‑value sales engagements with deep technical credibility — conducting architecture assessments, building custom demos, and de‑risking complex implementations.

Must Have

10+ years of hands‑on engineering experience in enterprise software, platform engineering, or solutions architecture.

Strong engineering mindset: You write code, review architectures, debug systems, and build prototypes. You are not just a “presenter” — you are a builder.

Proven problem‑solving ability: Track record of tackling ambiguous, complex technical challenges and delivering pragmatic solutions under real‑world constraints.

Deep enterprise customer experience: Significant experience working directly with large enterprise customers (Fortune 500 / Global 2000), particularly interfacing with enterprise architects, CTOs, and infrastructure teams.

Customer‑facing excellence: Exceptional ability to communicate complex technical concepts to varied audiences — from engineering teams to C‑suite executives. You earn trust through competence and clarity.

Hands‑on technical proficiency across multiple domains: APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, and enterprise integration patterns.

Experience with complex system integrations — connecting enterprise platforms, contact centers, CRMs, ERPs, and communication systems at scale.

Understanding of scaled enterprise implementations — experience deploying and operating AI solutions across thousands of users, multiple regions, and complex organizational structures. You understand what it takes to go from pilot to enterprise‑wide rollout, including performance engineering, high availability, disaster recovery, and operational readiness at scale.

Experience with agent frameworks (Kore.ai Platform, LangChain, LangGraph, AutoGen, CrewAI) or multi‑agent orchestration patterns.

First‑principles thinker: You question assumptions, challenge the status quo, and approach every problem by understanding the fundamentals before designing solutions.

Strong Plus

Experience with AI/ML systems — particularly LLMs, conversational AI, or agentic AI applications.

Expertise in Voice AI and Customer Experience platforms — deep understanding of voice call automation, IVR modernization, speech‑to‑text/text‑to‑speech pipelines, telephony integrations (SIP/WebRTC), and end‑to‑end voice bot architectures in enterprise contact center environments.

Background in RAG implementations, prompt engineering, or LLM‑based application development.

Experience at companies like Palantir, AWS, Salesforce, ServiceNow, Pega, or similar enterprise platform vendors in solutions‑facing roles.

Track record in building or scaling field engineering, solutions architecture, or forward deployed engineering functions.

Who You Are

Relentlessly curious. You dig deeper when others stop, ask “why” five times, and genuinely enjoy understanding how complex systems work.

A pragmatic engineer. You know when to build the elegant solution and when to build the one that works now. You balance technical excellence with business urgency.

A trusted advisor. Enterprise architects and technical leaders see you as a peer, not a vendor. You earn credibility through depth, not slides.

Comfortable in ambiguity. You thrive when there’s no playbook, when the requirements are unclear, and when the path forward needs to be invented.

An owner. You take responsibility end‑to‑end — from initial discovery through production deployment. You don’t hand off problems; you solve them.

A force multiplier. You make the teams around you better — customers, partners, and internal engineering alike.

Education

Bachelor’s degree in Engineering, Computer Science, or related technical field.

Master’s degree or equivalent depth of expertise preferred but not required — we value demonstrated capability over credentials.

Salary Range

$90,000 to $173,500